Pith. sign in

Paper Citation Record · LEDGER

AI-powered Contextual 3D Environment Generation: A Systematic Review

As of 7 August 2026, this Paper Citation Record lists 100 of 123 outbound references and 0 inbound Pith citation observations for arXiv:2506.05449.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.05449 v1

Coverage vector

measured 100 of 123 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:43.992088Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 123 outbound references displayed

  • verified exact15
  • verified fuzzy0
  • unresolved65
  • parse uncertain0
  • malformed identifier18
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45b1efc5-f414-4a68-8644-e483a250715e · outbound

This paper cites A survey on procedural modelling for virtual worlds.

AI-powered Contextual 3D Environment Generation: A Systematic Review A survey on procedural modelling for virtual worlds

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:07.734370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:07.734370Z digest=sha256:1e18bcb82d2d2d73e36659c2e0180d9d52390943fff90011bf09b76e08aee1d9

Observation d1dc12f8-665a-45c3-99c8-84a172bfeed7 · outbound

This paper cites Deep learning- based 3D reconstruction: a survey.

AI-powered Contextual 3D Environment Generation: A Systematic Review Deep learning- based 3D reconstruction: a survey

Reference 2

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:07.784597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:07.784597Z digest=sha256:f84a7582425491e4a3c4f36e76993f6ec33b71de36bb29af072e626effb656fa

Observation ea9acebb-36f1-4a05-8db5-58ef41e20d8e · outbound

This paper cites Procedural content generation via machine learning (PCGML).

AI-powered Contextual 3D Environment Generation: A Systematic Review Procedural content generation via machine learning (PCGML)

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:07.843846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:07.843846Z digest=sha256:e05c28f4880a166672aa4937f31fff23dd03974f100acd2cac9ac29ec5c11942

Observation 81a2a7ae-c2f0-485d-a4ec-f0fe7b23a981 · outbound

This paper cites 3D-LLM: Injecting the 3D World into Large Language Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review 3D-LLM: Injecting the 3D World into Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:07.913635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:07.913635Z digest=sha256:6ac3b9016dc0249cbbea674d8d0b7017d899b2b7982b10e8c9bfd88c9f61cf8c

Observation aa88b9f5-a601-43bd-98df-2918033f6ece · outbound

This paper cites Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:07.974786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:07.974786Z digest=sha256:05ffb37f3f9e029182cce33e35575227f35e80bfda8275cc2ad1a64ffe153b53

Observation 39be8cc0-e430-4709-8894-2b7bad1c3b7c · outbound

This paper cites RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion.

AI-powered Contextual 3D Environment Generation: A Systematic Review RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:08.054078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:08.054078Z digest=sha256:5eb485b8292bf739f2d4c6302db6fc9fd1c4f81f3ea039e4e29af51ee524fd49

Observation 09cb3e0e-1c2c-4abb-9260-ea8e6ba87747 · outbound

This paper cites The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.

AI-powered Contextual 3D Environment Generation: A Systematic Review The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:08.137297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:08.137297Z digest=sha256:b87984849a84ed65fffd7e7f6f8850046f4e3519d92fdd93c2a135237284706d

Observation 3d152b19-e717-49a7-9301-978118265314 · outbound

This paper cites Edify 3D: Scalable High-Quality 3D Asset Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review Edify 3D: Scalable High-Quality 3D Asset Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:08.203676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:08.203676Z digest=sha256:6201a0e96f9ad4f378cfb1949d47cc436e9f3a5e37c40e5d5a5bfd5bf3c2412a

Observation dd39bbcf-ae98-4c7f-b5b4-3337419ff97f · outbound

This paper cites NeRF-IS: Explicit Neural Radi- ance Fields in Semantic Space.

AI-powered Contextual 3D Environment Generation: A Systematic Review NeRF-IS: Explicit Neural Radi- ance Fields in Semantic Space

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:08.346721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:08.346721Z digest=sha256:c84be0f460e10884e34f558bdbd7af2fcfa528e60d21395c81a9aa86cd53a2c9

Observation a1996653-12e7-4f5b-8244-079a2f44fa58 · outbound

This paper cites V AIDE: Virtual AI Designer for Web3D Exhibition Layout Creation.

AI-powered Contextual 3D Environment Generation: A Systematic Review V AIDE: Virtual AI Designer for Web3D Exhibition Layout Creation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:08.423938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:08.423938Z digest=sha256:bfecef1d4de42f3f497f726baad2cf4624e5b763f80d35dd69c6ded2b847aaf6

Observation e2383a6c-a368-4e2a-a409-0d6436dd117d · outbound

This paper cites SPAGHETTI: editing implicit shapes through part aware generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review SPAGHETTI: editing implicit shapes through part aware generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:08.504905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:08.504905Z digest=sha256:526c66ac5ed0036bb2df70b3a218a7444b41a4a7dfd1cff0a7eebb7306a8596f

Observation 549e0873-4414-42c3-98a0-8f3d6a47b7ba · outbound

This paper cites Generative Terrain Authoring with Mid-air Hand Sketching in Virtual Reality.

AI-powered Contextual 3D Environment Generation: A Systematic Review Generative Terrain Authoring with Mid-air Hand Sketching in Virtual Reality

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:08.575758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:08.575758Z digest=sha256:d85f6e9834e210e7a65caa672c2fb843c4f7a098e2f40c7ced3e1221848cfcfe

Observation 1cfb5eed-96e9-4cf6-b02a-dc9ecd0dd809 · outbound

This paper cites SP-GAN: sphere-guided 3D shape generation and manipulation.

AI-powered Contextual 3D Environment Generation: A Systematic Review SP-GAN: sphere-guided 3D shape generation and manipulation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:08.661789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:08.661789Z digest=sha256:1ddd94e5eb2eeed69c356ea87e14089a0a0b5e03f8fa6ef51f786020e32da3d8

Observation af7325ec-571f-4026-9b35-346d7e64d32d · outbound

This paper cites Creating and Experiencin 3D Im- mersion Using Generative 2D Diffusion: An Integrated Framework.

AI-powered Contextual 3D Environment Generation: A Systematic Review Creating and Experiencin 3D Im- mersion Using Generative 2D Diffusion: An Integrated Framework

Reference 16

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:08.831058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:08.831058Z digest=sha256:39bd55663abd9970fc9442fd8c5daddedb578b77443aa8c73f421cecb2b7b2d3

Observation 6f7cc042-a43b-44b5-8245-582c9f7c915c · outbound

This paper cites LLMR: Real-time Prompting of Interactive Worlds using Large Language Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review LLMR: Real-time Prompting of Interactive Worlds using Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:09.058381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:09.058381Z digest=sha256:cc3162c9515b1d29838f731ada34344a768494096311d17b13fa7ab0309d0bb4

Observation 54a07cf4-0b60-4a76-bb16-290bc62e9623 · outbound

This paper cites NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Mod- els.

AI-powered Contextual 3D Environment Generation: A Systematic Review NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Mod- els

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:09.281993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:09.281993Z digest=sha256:d929ab11b5e6816c6ed0c5d772d323a633ba5f8db7b4828b548829f15045e73f

Observation 1d7d0bc8-afea-4031-a9b4-35e9c5549c8b · outbound

This paper cites SceneHGN: Hierarchical Graph Net- works for 3D Indoor Scene Generation With Fine- Grained Geometry.

AI-powered Contextual 3D Environment Generation: A Systematic Review SceneHGN: Hierarchical Graph Net- works for 3D Indoor Scene Generation With Fine- Grained Geometry

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:09.750551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:09.750551Z digest=sha256:592e48abc0643dc4d370a9a0ba38fedacc384195ecb53bba02b115da8203c014

Observation bda1a2fd-4a9d-4d74-a44c-92c597ccfd3d · outbound

This paper cites iControl3D: An Interactive System for Controllable 3D Scene Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review iControl3D: An Interactive System for Controllable 3D Scene Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:09.878745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:09.878745Z digest=sha256:7db70d3d6f2d201d102fda1cdbe28e63c26d7128392069e3ece9f3444826b22f

Observation 121bcb83-08fa-4f99-a379-a55b6aefcdbd · outbound

This paper cites MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback.

AI-powered Contextual 3D Environment Generation: A Systematic Review MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback

Reference 25

Resolution
verified exact
doi, observed 2026-08-07T10:29:44.486551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:09.944163Z digest=sha256:45a52bd3d976079aac38c8a92155894ba315f65617ba4fd8a1936b4da6de2dc3

Observation 68abad83-ef73-4eca-81d3-a0510076f892 · outbound

This paper cites ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context.

AI-powered Contextual 3D Environment Generation: A Systematic Review ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context

Reference 26

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:10.006232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:10.006232Z digest=sha256:a10b25af03cb2d9c63b34efcfaf8bb8a93d492c9a39d3399acc5d27198a642ec

Observation f820ea7d-9d3b-453d-9575-b11e8dc39647 · outbound

This paper cites A Multi-Stage Advanced Deep Learning Graphics Pipeline.

AI-powered Contextual 3D Environment Generation: A Systematic Review A Multi-Stage Advanced Deep Learning Graphics Pipeline

Reference 28

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:10.129911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:10.129911Z digest=sha256:61cf8a0a4cd69688f5083c0ba8b5b0eb0d094ab001855c8ac897a1c78a4d7cca

Observation 73a5ec03-3325-4d38-8140-7782bee940b3 · outbound

This paper cites A Survey on Generative Adversarial Networks: Variants, Appli- cations, and Training.

AI-powered Contextual 3D Environment Generation: A Systematic Review A Survey on Generative Adversarial Networks: Variants, Appli- cations, and Training

Reference 30

Resolution
verified exact
doi, observed 2026-08-07T10:29:44.470268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:10.255232Z digest=sha256:e8b85089fca3342896ea213f8bf47d6341b1b6f8e50a90ae9c39724f37dcb807

Observation 740bfc98-8aa9-48c4-a7cc-3d6522c8545c · outbound

This paper cites A Neural Space-Time Represen- tation for Text-to-Image Personalization.

AI-powered Contextual 3D Environment Generation: A Systematic Review A Neural Space-Time Represen- tation for Text-to-Image Personalization

Reference 33

Resolution
verified exact
doi, observed 2026-08-07T10:29:44.454332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:10.500170Z digest=sha256:7844fc07370aa404e92e67cc655c55802082312a8d6cac2783d57d6eaac21d12

Observation 78db6bc9-0065-4c6c-a2c8-bb81476dc0f0 · outbound

This paper cites Artin- ter: AI-powered Boundary Objects for Commission- ing Visual Arts.

AI-powered Contextual 3D Environment Generation: A Systematic Review Artin- ter: AI-powered Boundary Objects for Commission- ing Visual Arts

Reference 34

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:10.586828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:10.586828Z digest=sha256:a75e03886efd1eec5bd30de2f448e8adeeccf5c78baf77222f53d10e66886514

Observation 680f8b81-b711-4d36-bdfa-76bc8e20cd2d · outbound

This paper cites Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis.

AI-powered Contextual 3D Environment Generation: A Systematic Review Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:10.652154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:10.652154Z digest=sha256:ab602832523589cd0fb0a24ef89aeef92c179e2a1e971a962836e526cec0dfc7

Observation f2e10cd7-1f0f-432d-8909-3c03b2a911c6 · outbound

This paper cites FIND: Fine-tuning Initial Noise Distribution with Policy Optimization for Diffusion Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review FIND: Fine-tuning Initial Noise Distribution with Policy Optimization for Diffusion Models

Reference 36

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:10.742138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:10.742138Z digest=sha256:4a2742f3d06d233f668401721b10e16bae8ffc0b3595b02f3f2dbdb02e9caecb

Observation eb5fb1f9-8ab0-4006-8a05-3b2a1db1ee4e · outbound

This paper cites ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Con- straints.

AI-powered Contextual 3D Environment Generation: A Systematic Review ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Con- straints

Reference 37

Resolution
verified exact
doi, observed 2026-08-07T10:29:44.439393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:10.828750Z digest=sha256:397547da980e87a6172a8fadf3d75a59bbf8d587e3189b05c8e9d458b1c83125

Observation 8859a2a6-cd49-4994-b72c-2594e9df32d9 · outbound

This paper cites GeoLatent: A Geometric Approach to Latent Space Design for Deformable Shape Gen- erators.

AI-powered Contextual 3D Environment Generation: A Systematic Review GeoLatent: A Geometric Approach to Latent Space Design for Deformable Shape Gen- erators

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:10.910883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:10.910883Z digest=sha256:2f56fae6788ad430591e18d33835699b77ddf6cf57da2779185b7a6826877568

Observation 74cccdcf-238a-4c2e-bb75-9fc7a1c15d10 · outbound

This paper cites Sat2Scene: 3D Urban Scene Gen- eration from Satellite Images with Diffusion.

AI-powered Contextual 3D Environment Generation: A Systematic Review Sat2Scene: 3D Urban Scene Gen- eration from Satellite Images with Diffusion

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:10.977219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:10.977219Z digest=sha256:96ff78d5eba331cfa84eb92259e1d11c133176d8c1c34dfc8a2cae02b12d5ea6

Observation 02c9f01b-a7af-4283-a22a-9aec7fd366db · outbound

This paper cites Synthesizing Indoor Scene Layouts in Complicated Architecture Using Dynamic Convolution Networks.

AI-powered Contextual 3D Environment Generation: A Systematic Review Synthesizing Indoor Scene Layouts in Complicated Architecture Using Dynamic Convolution Networks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:11.049907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:11.049907Z digest=sha256:0f7e91a0d92f4d9d682c9e52d0da9eaaad6cc1dc950b2552a6da46781bd73e55

Observation 13cda361-1a14-4c17-b1bf-283b19683a4f · outbound

This paper cites DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi- Modal Diffusion-Renderings.

AI-powered Contextual 3D Environment Generation: A Systematic Review DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi- Modal Diffusion-Renderings

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:11.114215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:11.114215Z digest=sha256:f77ab16272b09140ac52cab436e8666e5ded84d46750a4852eb6277eff461907

Observation 6f3c217b-fee6-4f08-8b2e-c9e54f348ebb · outbound

This paper cites 3DP3: 3D Scene Perception via Probabilistic Programming.

AI-powered Contextual 3D Environment Generation: A Systematic Review 3DP3: 3D Scene Perception via Probabilistic Programming

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:42.469348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:42.469348Z digest=sha256:6e81811d906800a70b59cc9a471d44e70dfeead51bc2b9c828839e1b8dc1acfe

Observation db8dbe5e-30c6-41e5-8d33-92333ec49a12 · outbound

This paper cites Sparse Query Dense: Enhanc- ing 3D Object Detection with Pseudo Points.

AI-powered Contextual 3D Environment Generation: A Systematic Review Sparse Query Dense: Enhanc- ing 3D Object Detection with Pseudo Points

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:42.512750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:42.512750Z digest=sha256:29355da8c8c0f5711edc0aeb82ae35e9641056d8b6403d3d17e5211e3e09d202

Observation 14dbdb53-e885-45db-a344-353e1b88bcfa · outbound

This paper cites rlty2rlty: Transitioning Between Realities with Gen- erative AI.

AI-powered Contextual 3D Environment Generation: A Systematic Review rlty2rlty: Transitioning Between Realities with Gen- erative AI

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:42.738897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:42.738897Z digest=sha256:3e862fc1506015987670ef7c6a6567c9fbf0842d57e2f6f4c9d83a41b8cea790

Observation 1b94db70-ab8e-42c6-8812-4fd481aac915 · outbound

This paper cites SinGRAF: Learning a 3D Gen- erative Radiance Field for a Single Scene.

AI-powered Contextual 3D Environment Generation: A Systematic Review SinGRAF: Learning a 3D Gen- erative Radiance Field for a Single Scene

Reference 48

Resolution
verified exact
raw_fallback, observed 2026-08-07T10:29:48.490954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:42.846142Z digest=sha256:d5c468e428d7dcfdbdbba654a84d07fcec631571c2f3de09fd9d93ecf41f4058

Observation ddb8f1bb-a425-4599-b8f8-f1cec4cd9f3a · outbound

This paper cites RIP-NeRF: Learning Rotation- Invariant Point-based Neural Radiance Field for Fine- grained Editing and Compositing.

AI-powered Contextual 3D Environment Generation: A Systematic Review RIP-NeRF: Learning Rotation- Invariant Point-based Neural Radiance Field for Fine- grained Editing and Compositing

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:42.916512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:42.916512Z digest=sha256:fa266745b262c807aeca25875031abcbc23128ed38e2cab39c4681b406e0dcea

Observation a7478d4a-bc67-45f7-a155-c6ed453d699d · outbound

This paper cites In- teractive Latent Variable Evolution for the Generation of Minecraft Structures.

AI-powered Contextual 3D Environment Generation: A Systematic Review In- teractive Latent Variable Evolution for the Generation of Minecraft Structures

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:42.990589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:42.990589Z digest=sha256:ae608364c593f19e07df631828fe96e1e882b7b1e9792bced75a2950261d054b

Observation 7d552ec0-cf32-462f-8098-ddcf94b78114 · outbound

This paper cites World-GAN: a Generative Model for Minecraft Worlds.

AI-powered Contextual 3D Environment Generation: A Systematic Review World-GAN: a Generative Model for Minecraft Worlds

Reference 51

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:43.059376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.059376Z digest=sha256:0eacb1cd660e9a32aa7d22729a86b44cd004e41815781391fdd231509c4352d8

Observation 786f7a51-a8f2-494b-a4d2-92b14dc725e2 · outbound

This paper cites CLIP-Mesh: Generat- ing textured meshes from text using pretrained image- text models.

AI-powered Contextual 3D Environment Generation: A Systematic Review CLIP-Mesh: Generat- ing textured meshes from text using pretrained image- text models

Reference 53

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:43.133049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.133049Z digest=sha256:2c3e98cb692b648a8e8a2a110385cfe90d135f22b562c6439323070b0660929a

Observation 70ac4a88-426a-4ee0-b6ae-9f76c5ec0258 · outbound

This paper cites VRCopilot: Authoring 3D Layouts with Generative AI Models in VR.

AI-powered Contextual 3D Environment Generation: A Systematic Review VRCopilot: Authoring 3D Layouts with Generative AI Models in VR

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.256820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.256820Z digest=sha256:d389949c9deb54a11eb673f68c884579c237aa533c070aa1c94e2f41ec09557c

Observation 1681b52c-3082-4a37-8abe-33e6004c9211 · outbound

This paper cites WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI.

AI-powered Contextual 3D Environment Generation: A Systematic Review WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.313382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.313382Z digest=sha256:156f9226f41d7b82065df2f02e90a4b8eb673b8f238274b3d0f5c0304e422edf

Observation 87c66b33-add0-4c76-8ca8-ed8c57257fb5 · outbound

This paper cites Generating and Integrating Dif- fusion Model-Based Panoramic Views for Virtual In- terview Platform.

AI-powered Contextual 3D Environment Generation: A Systematic Review Generating and Integrating Dif- fusion Model-Based Panoramic Views for Virtual In- terview Platform

Reference 56

Resolution
verified exact
raw_fallback, observed 2026-08-07T10:29:47.953759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.397955Z digest=sha256:57221151833d75ab0b3861fad0d2c2ff8c471d77e96aa0edda5059dfa5873b71

Observation a4247c26-b94f-4653-b3ad-7c69700c33bb · outbound

This paper cites BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapola- tion.

AI-powered Contextual 3D Environment Generation: A Systematic Review BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapola- tion

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.421032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.421032Z digest=sha256:ab0764f1abdc4cee2809a596199038fd5237b24eb08164582cffb488bd3d267f

Observation 6c7f086d-0d57-4b36-944c-2a66e2bb5b25 · outbound

This paper cites L-MAGIC: Language Model As- sisted Generation of Images with Coherence.

AI-powered Contextual 3D Environment Generation: A Systematic Review L-MAGIC: Language Model As- sisted Generation of Images with Coherence

Reference 59

Resolution
verified exact
raw_fallback, observed 2026-08-07T10:29:47.877865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.437207Z digest=sha256:4b48c1d7c8d4fbe5a9e77237d564d159b626e8ae5a6577f38ff9e014f3a79fb1

Observation 4d7cc215-bcb9-469f-8a27-d1d1ddb8dd25 · outbound

This paper cites iNVS: Repurposing Diffusion In- painters for Novel View Synthesis.

AI-powered Contextual 3D Environment Generation: A Systematic Review iNVS: Repurposing Diffusion In- painters for Novel View Synthesis

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.452421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.452421Z digest=sha256:56dbcfdeb86a5480947b74a937bbd9df12ad4a2cbdc7a65a4f211a37c52ca0ef

Observation c914225a-3526-42e1-9cc6-063ec8565793 · outbound

This paper cites WorldGen: A Large Scale Generative Simulator.

AI-powered Contextual 3D Environment Generation: A Systematic Review WorldGen: A Large Scale Generative Simulator

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.467084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.467084Z digest=sha256:de4073b219ba58959e59975d801781143a853cf7b45e3452a9ba62059c7413ee

Observation 80e94ce1-f1a9-4f05-b075-18811f34f12a · outbound

This paper cites ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives.

AI-powered Contextual 3D Environment Generation: A Systematic Review ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives

Reference 62

Resolution
verified exact
doi, observed 2026-08-07T10:29:44.396048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.477441Z digest=sha256:3289e69c655c6ee3ae143a53f64590d83920ea80036fae7984f2f00329caf8b5

Observation 6a92cdea-a5d1-41de-80c2-b7a24bd74ce9 · outbound

This paper cites Assessing the Utility of GAN-Generated 3D Virtual Desert Terrain: A User- Centric Evaluation of Immersion and Realism.

AI-powered Contextual 3D Environment Generation: A Systematic Review Assessing the Utility of GAN-Generated 3D Virtual Desert Terrain: A User- Centric Evaluation of Immersion and Realism

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.486597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.486597Z digest=sha256:f965c5d39ddc7a038196e2a96e6284dbe44da0cd3afa6144f4bce3d7762e5cb0

Observation 16453975-fe61-494a-9986-6c941369b8c8 · outbound

This paper cites LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer.

AI-powered Contextual 3D Environment Generation: A Systematic Review LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.504072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.504072Z digest=sha256:6c83943d4145b9f9ad9c683ea0effd794b9c333d14dfa6568e46242af77eeef3

Observation 478c7034-57de-40c8-ac20-2acd143c8b12 · outbound

This paper cites DreamUp3D: Object-Centric Genera- tive Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer.

AI-powered Contextual 3D Environment Generation: A Systematic Review DreamUp3D: Object-Centric Genera- tive Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.515389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.515389Z digest=sha256:59fac5cc19d1525e313105f54ad32546d11a8323b556061becc0903af151054c

Observation 290be1b0-a510-47b9-bb96-01d1d2ae3a18 · outbound

This paper cites CLAY: A Controllable Large- scale Generative Model for Creating High-quality 3D Assets.

AI-powered Contextual 3D Environment Generation: A Systematic Review CLAY: A Controllable Large- scale Generative Model for Creating High-quality 3D Assets

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.527148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.527148Z digest=sha256:f006a6e43baf6a3253b58acf7f3a597fa0be14cf77302dce2787cce0924fbcd9

Observation 1770a69b-a09f-41cf-91fe-be151ef236d8 · outbound

This paper cites MultiCAD: Contrastive Represen- tation Learning for Multi-modal 3D Computer-Aided Design Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review MultiCAD: Contrastive Represen- tation Learning for Multi-modal 3D Computer-Aided Design Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.535734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.535734Z digest=sha256:6f0c01431fb34956d3ce93c08d1883921f1a7d181258cd732e0199c762666f72

Observation d0842b1c-8c00-4116-a87b-0ce74bb6ed0d · outbound

This paper cites 360° Reconstruction From a Single Image Using Space Carved Outpainting.

AI-powered Contextual 3D Environment Generation: A Systematic Review 360° Reconstruction From a Single Image Using Space Carved Outpainting

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.560477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.560477Z digest=sha256:91a3b186e0bebb299c61163f6df8527d621799cdedaaf63df3ffdc2882ebe226

Observation cb373103-e95e-4777-9b84-9ad3a97eddf3 · outbound

This paper cites Cross-modal 3D Shape Gener- ation and Manipulation.

AI-powered Contextual 3D Environment Generation: A Systematic Review Cross-modal 3D Shape Gener- ation and Manipulation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.570880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.570880Z digest=sha256:ec2e20b3a8a193138d8f04865234496438f8dd8f38560b45c1f90e71c74dab5f

Observation acf5f2bd-b050-4957-a69e-ad2dcdcbf757 · outbound

This paper cites ChartPointFlow for Topology-Aware 3D Point Cloud Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review ChartPointFlow for Topology-Aware 3D Point Cloud Generation

Reference 72

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:43.580751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.580751Z digest=sha256:4a2cc9e341664e1eb01cf8abb14b0b68963c854101ab6607606299ec9ed947e0

Observation 9ea0fa19-3c50-47e2-b763-bbd9f43f57f2 · outbound

This paper cites Elevating Perception: Unified Recognition Framework and Vision-Language Pre- Training Using Three-Dimensional Image Reconstruc- tion.

AI-powered Contextual 3D Environment Generation: A Systematic Review Elevating Perception: Unified Recognition Framework and Vision-Language Pre- Training Using Three-Dimensional Image Reconstruc- tion

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.602257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.602257Z digest=sha256:0a04953c7bd7115a3a1e253a8cfb34d67e25064a2b3cd885aabd7117ba8b3c20

Observation 0bfbe79a-4985-48a4-ae94-df923241f637 · outbound

This paper cites Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models

Reference 75

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:43.611623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.611623Z digest=sha256:e9cfed6ca5ccbb8de6a775158fef2fcd80404f3072094cb80192fe7eeaa2cbbf

Observation c191d884-a6d5-4341-b21c-b76bae27497d · outbound

This paper cites EASI-Tex: Edge-Aware Mesh Texturing from Single Image.

AI-powered Contextual 3D Environment Generation: A Systematic Review EASI-Tex: Edge-Aware Mesh Texturing from Single Image

Reference 76

Resolution
verified exact
doi, observed 2026-08-07T10:29:44.362722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.621763Z digest=sha256:5ac0675880ef496595b092b0b8ad57b5fffe1d3d5fdf465b4418b5225cdb113c

Observation 336fe3c0-29e8-4fcb-a127-2c02f241e289 · outbound

This paper cites F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting.

AI-powered Contextual 3D Environment Generation: A Systematic Review F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.634131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.634131Z digest=sha256:cc5d7a6aa4a8e5e20835cbd2361e29ee0829ee11d839fbb85f63e35835a9a36f

Observation 800757f9-3f95-4422-9a51-35b2f246bc5b · outbound

This paper cites 3DShape2VecSet: A 3D Shape Rep- resentation for Neural Fields and Generative Diffusion Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review 3DShape2VecSet: A 3D Shape Rep- resentation for Neural Fields and Generative Diffusion Models

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.646976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.646976Z digest=sha256:d142db300ffc8ae042681265e1e6c1e83c352b26ef5ac1f43147ba3414186365

Observation 5dfbae4d-e6e6-4b82-9b1f-1cf3f65693b3 · outbound

This paper cites HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image.

AI-powered Contextual 3D Environment Generation: A Systematic Review HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.656099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.656099Z digest=sha256:00a815778cc7e039b6cc2662ab8d5ee8bcdefd8e0a20442e9b86a76754972637

Observation 84126f76-fe78-4b0a-b3f2-46c3b3803496 · outbound

This paper cites An End-to-End Conditional Generative Adversarial Network Based on Depth Map for 3D Craniofacial Reconstruction.

AI-powered Contextual 3D Environment Generation: A Systematic Review An End-to-End Conditional Generative Adversarial Network Based on Depth Map for 3D Craniofacial Reconstruction

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.665778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.665778Z digest=sha256:fbe302e6f859d47da01779692f48326d96697c1f16156282f8fb4e938b903dce

Observation 2893f613-324e-4c72-8d3d-68cb44679ef0 · outbound

This paper cites Object-centric Learning with Capsule Networks: A Survey.

AI-powered Contextual 3D Environment Generation: A Systematic Review Object-centric Learning with Capsule Networks: A Survey

Reference 81

Resolution
verified exact
doi, observed 2026-08-07T10:29:44.339238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.678151Z digest=sha256:deb8c56403f6accb7992f3b6bbf915683c34f5965ecbbd9080f76cdc98af6ea4

Observation b88f2a24-19d3-412b-b0d1-83a5d1b41d4e · outbound

This paper cites Learning to Gen- erate 3D Shapes from a Single Example.

AI-powered Contextual 3D Environment Generation: A Systematic Review Learning to Gen- erate 3D Shapes from a Single Example

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.691586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.691586Z digest=sha256:aaf95aa3d96754482c5e60409eb6eaa96ebe121ffae9d11f74f09455d5b16167

Observation e77d4f67-53db-4897-afd5-caad8340285d · outbound

This paper cites Text-Free Controllable 3-D Point Cloud Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review Text-Free Controllable 3-D Point Cloud Generation

Reference 83

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T10:29:47.106821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.700867Z digest=sha256:e6abc91f02cfa1e775592e92d4e226a8d86e1be4fc3078cedc439f3d8aa5ab06

Observation 71d483b7-6a85-46dc-aee0-6a48e14242bd · outbound

This paper cites A Study on V oxel Shape Generation and Reconstruction with VQ-V AE- 2.

AI-powered Contextual 3D Environment Generation: A Systematic Review A Study on V oxel Shape Generation and Reconstruction with VQ-V AE- 2

Reference 84

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T10:29:47.018301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.712357Z digest=sha256:fe01a2775be5cab3f3e691ace8375e12aa05010e23bd70aa02d3c6d36a66bb1c

Observation b1eedd0c-b4af-4007-9555-39803a53ff77 · outbound

This paper cites Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowl- edge Distillation.

AI-powered Contextual 3D Environment Generation: A Systematic Review Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowl- edge Distillation

Reference 85

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:43.725171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.725171Z digest=sha256:d9b4999c07b7105321f1dc832c99e4767eb1760f75c37661695cdaaf82d9a76d

Observation db81ada3-9e58-4887-84b0-b4db1f7f59b0 · outbound

This paper cites Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations.

AI-powered Contextual 3D Environment Generation: A Systematic Review Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.776166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.776166Z digest=sha256:c673848cb120ee601b41894ce70bf5980b17fe89ef43ca6eafe54acdf4982657

Observation 54cb3510-df53-41fe-ae1e-d0c3196b07ac · outbound

This paper cites RelScene: A Benchmark and base- line for Spatial Relations in text-driven 3D Scene Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review RelScene: A Benchmark and base- line for Spatial Relations in text-driven 3D Scene Generation

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.785182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.785182Z digest=sha256:507a807be380eb11e187035013a8307e018c4ea565801c0088719903ad461ffd

Observation ef93d9ee-0595-4bac-a01b-ca985c2199ec · outbound

This paper cites CAD Translator: An Effective Drive for Text to 3D Parametric Computer-Aided Design Generative Modeling.

AI-powered Contextual 3D Environment Generation: A Systematic Review CAD Translator: An Effective Drive for Text to 3D Parametric Computer-Aided Design Generative Modeling

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.794221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.794221Z digest=sha256:9000847433ca81eb50f22c34e2e82fbf647373c68a142758408682ccd9036713

Observation 482e22ac-82a7-460a-aad6-b72d4a628555 · outbound

This paper cites ImageBind3D: Image as Binding Step for Controllable 3D Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review ImageBind3D: Image as Binding Step for Controllable 3D Generation

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.802716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.802716Z digest=sha256:2691ffb07419e9eac91f4b9e4d33bf63e7d6319cd66bee5ac10672a810bd28e5

Observation 12bfaba7-eac9-42b8-8b34-d3ed130ef188 · outbound

This paper cites DreamLCM: Towards High Quality Text-to-3D Generation via Latent Consistency Model.

AI-powered Contextual 3D Environment Generation: A Systematic Review DreamLCM: Towards High Quality Text-to-3D Generation via Latent Consistency Model

Reference 94

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:43.821107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.821107Z digest=sha256:f67dbd2be6ae5a011c329dba2e8f8c884d4dbedd8f85c6e43a6c44d11c0eef2a

Observation 9e9c75ae-e6d4-4ec6-b244-53af6d61a229 · outbound

This paper cites Dream Mesh: A Speech-to-3D Model Generative Pipeline in Mixed Reality.

AI-powered Contextual 3D Environment Generation: A Systematic Review Dream Mesh: A Speech-to-3D Model Generative Pipeline in Mixed Reality

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.826519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.826519Z digest=sha256:1222892af7a7f8e9f8f2be1265e143d97b270923eaab5a2ed9568b318fd89077

Observation cc4ae632-c20b-4038-a558-2efcb008b305 · outbound

This paper cites PlacidDreamer: Advancing Har- mony in Text-to-3D Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review PlacidDreamer: Advancing Har- mony in Text-to-3D Generation

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.843820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.843820Z digest=sha256:0f0a5acb27c274204ef831ebaf5a106a2ccc0677f3895dcadc537adda147927e

Observation 7a9e00be-e4ab-4b6d-a1c6-2b5c0c606d15 · outbound

This paper cites Text2VRScene: Exploring the Framework of Automated Text-driven Generation Sys- tem for VR Experience.

AI-powered Contextual 3D Environment Generation: A Systematic Review Text2VRScene: Exploring the Framework of Automated Text-driven Generation Sys- tem for VR Experience

Reference 97

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:43.852572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.852572Z digest=sha256:d18bf10fa51e359a6760ef4f39e237a6048e1c58f1ab68aecb502260f8d68ec4

Observation 769f4295-9bda-4857-a8bd-7471879cc17f · outbound

This paper cites Prompt Engineering for X3D Object Creation with LLMs.

AI-powered Contextual 3D Environment Generation: A Systematic Review Prompt Engineering for X3D Object Creation with LLMs

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.861458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.861458Z digest=sha256:b8d5f0ab0aa48f9ad6a5f784e092f0970ef7d7d284cf018851c6d0cd95c079a5

Observation 99b8ff4d-268d-4b90-b187-4090a64828b3 · outbound

This paper cites Sketch3D: Style- Consistent Guidance for Sketch-to-3D Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review Sketch3D: Style- Consistent Guidance for Sketch-to-3D Generation

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.874159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.874159Z digest=sha256:e1c72bcabd56126aac0ed0b3f66925b0eff5934a69372a4c3cc87bc5fce0e17f

Observation 3834e16c-05ea-4b51-912b-235087725b58 · outbound

This paper cites SpaceBlender: Creating Context- Rich Collaborative Spaces Through Generative 3D Scene Blending.

AI-powered Contextual 3D Environment Generation: A Systematic Review SpaceBlender: Creating Context- Rich Collaborative Spaces Through Generative 3D Scene Blending

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.879250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.879250Z digest=sha256:6134f28524bcae5df67b5d59fe00830a38b4b0d59d7daf400efd55942355f377

Observation 98501fd6-f463-4206-9747-dbba734756f8 · outbound

This paper cites Knowl- edge Generation Pipeline using LLM for Building 3D Object Knowledge Base.

AI-powered Contextual 3D Environment Generation: A Systematic Review Knowl- edge Generation Pipeline using LLM for Building 3D Object Knowledge Base

Reference 101

Resolution
verified exact
raw_fallback, observed 2026-08-07T10:29:46.195192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.884471Z digest=sha256:c19192d1ba714f3b5434201a1cc0befaa0e056cc1b100db40e9d6bb2e604c846

Observation 465dcd1e-c640-4726-ab18-8426162c76fe · outbound

This paper cites ControlStyle: Text-Driven Styl- ized Image Generation Using Diffusion Priors.

AI-powered Contextual 3D Environment Generation: A Systematic Review ControlStyle: Text-Driven Styl- ized Image Generation Using Diffusion Priors

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.889539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.889539Z digest=sha256:219be9e1fffe73d7c7d7ef38b5329a9cc26075ab75225af42b0305948ae44aae

Observation 573ddb7c-7b6a-4fde-9047-a066bdc5515a · outbound

This paper cites ControlMat: A Controlled Generative Approach to Material Capture.

AI-powered Contextual 3D Environment Generation: A Systematic Review ControlMat: A Controlled Generative Approach to Material Capture

Reference 103

Resolution
verified exact
doi, observed 2026-08-07T10:29:44.324063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.894461Z digest=sha256:95921b981abbefcceaba4b0d2e0b28501b0e34aebc51e6ae10eb4cd585120089

Observation db40e904-c449-49e3-8792-904325a84dc0 · outbound

This paper cites Diffusion Texture Painting.

AI-powered Contextual 3D Environment Generation: A Systematic Review Diffusion Texture Painting

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.899681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.899681Z digest=sha256:e6728d7533debf1633927d13a582a9b6b03632b00b28d9dfb89d2232f99148ea

Observation 63ac7ecf-9b17-48d4-b8a5-552872f09d42 · outbound

This paper cites MatFormer: a generative model for procedural materials.

AI-powered Contextual 3D Environment Generation: A Systematic Review MatFormer: a generative model for procedural materials

Reference 105

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.904681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.904681Z digest=sha256:29ea4a23c8c40ae13f38ed2561f32b47f2ee9fc99a50dcfcd73b816f3d2412d3

Observation d068e563-c066-4678-9fed-fbb6bdfec7cf · outbound

This paper cites MaPa: Text-driven Photoreal- istic Material Painting for 3D Shapes.

AI-powered Contextual 3D Environment Generation: A Systematic Review MaPa: Text-driven Photoreal- istic Material Painting for 3D Shapes

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.909150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.909150Z digest=sha256:07e156c0bfeb12fa50bea5a3687ca491e2fb8a22cb56a79e80fc4ae59d7a6872

Observation e66b17fd-a5e6-4637-9b50-3aaa8966f311 · outbound

This paper cites PhotoMat: A Material Generator Learned from Single Flash Photos.

AI-powered Contextual 3D Environment Generation: A Systematic Review PhotoMat: A Material Generator Learned from Single Flash Photos

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.913553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.913553Z digest=sha256:7a7620a3b01e7017381c67e503f7b5e2a6556ecff9c57ada956061dfff3bf2ae

Observation 796ebccb-8f4a-44c4-8df8-173163417271 · outbound

This paper cites Large Language and Text-to-3D Models for Engineer- ing Design Optimization.

AI-powered Contextual 3D Environment Generation: A Systematic Review Large Language and Text-to-3D Models for Engineer- ing Design Optimization

Reference 108

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:43.918065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.918065Z digest=sha256:e51bb51502d15552b8da14ee4a470782aac2401b29845951290d454aca289a16

Observation cd9b2d49-5724-4f23-9309-6e32aff584ad · outbound

This paper cites FloorGAN: Generative Net- work for Automated Floor Layout Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review FloorGAN: Generative Net- work for Automated Floor Layout Generation

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.922550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.922550Z digest=sha256:d112e66c596ebdbc62925766702e700763c2f755675eddefde40b3096797f501

Observation 610de5ab-8a0f-4e6d-8c93-91db75190406 · outbound

This paper cites Automated video editing based on learned styles using LSTM-GAN.

AI-powered Contextual 3D Environment Generation: A Systematic Review Automated video editing based on learned styles using LSTM-GAN

Reference 110

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T10:29:45.738912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.927746Z digest=sha256:254cf6d16ae35c057884c35163a61507fbb39a4b20c60980e021aa2010718b57

Observation 00f74d59-d106-4b49-abd1-a44dc4639d2b · outbound

This paper cites TexPainter: Generative Mesh Texturing with Multi-view Consistency.

AI-powered Contextual 3D Environment Generation: A Systematic Review TexPainter: Generative Mesh Texturing with Multi-view Consistency

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.933295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.933295Z digest=sha256:76eb416ada14097e1ed52a76c725d224a7f63ad02224cd67b42e9bae610af8f7

Observation 013fe6fc-9676-4e17-a11e-f3da29301da7 · outbound

This paper cites ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars.

AI-powered Contextual 3D Environment Generation: A Systematic Review ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.938916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.938916Z digest=sha256:5e37563f4d9522e567dafce6f60966693556d823e7c56fad72a335f891492cb5

Observation 4ff35044-537c-40a3-b0e9-5cd3c5ab7683 · outbound

This paper cites VDAM: V AE based domain adap- tation for cloud property retrieval from multi-satellite data.

AI-powered Contextual 3D Environment Generation: A Systematic Review VDAM: V AE based domain adap- tation for cloud property retrieval from multi-satellite data

Reference 113

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T10:29:45.631626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.944317Z digest=sha256:a6eedd345b82cf07661a38329dc131b9098a8114a0459f4a6a2b661caa6018b1

Observation b946eb8b-3637-4b1e-8786-ce65c89eba2d · outbound

This paper cites Cascade Variational Auto-Encoder for Hierarchical Disentanglement.

AI-powered Contextual 3D Environment Generation: A Systematic Review Cascade Variational Auto-Encoder for Hierarchical Disentanglement

Reference 114

Resolution
malformed identifier
no resolver link, observed 2026-08-07T10:29:43.949622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.949622Z digest=sha256:ce1cf646f597b5bcbcb4f65d6eaebdc8b1d79f1093ddaddf0140e0a01716e78a

Observation 53f8e540-35ad-4acd-9dd2-106eab4d4eca · outbound

This paper cites Automated Testing of Graphics Units by Deep-Learning Detection of Vi- sual Anomalies.

AI-powered Contextual 3D Environment Generation: A Systematic Review Automated Testing of Graphics Units by Deep-Learning Detection of Vi- sual Anomalies

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.954828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.954828Z digest=sha256:44439de5ca987e8601285f8c723d64c34f02c667c482a26a5fe33324fc1e4d78

Observation af395e08-654b-4d61-8e66-e38c54440ba9 · outbound

This paper cites RealFill: Reference-Driven Gen- eration for Authentic Image Completion.

AI-powered Contextual 3D Environment Generation: A Systematic Review RealFill: Reference-Driven Gen- eration for Authentic Image Completion

Reference 116

Resolution
verified exact
doi, observed 2026-08-07T10:29:44.297932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.959432Z digest=sha256:a35d6be36501361693a7618981265ff0b16483795a3ab4c82e1ef7af32d6b078

Observation b8a401df-4ebc-443c-9cd8-930b99b801f4 · outbound

This paper cites A Survey on Deep Generative 3D-aware Image Synthesis.

AI-powered Contextual 3D Environment Generation: A Systematic Review A Survey on Deep Generative 3D-aware Image Synthesis

Reference 117

Resolution
verified exact
doi, observed 2026-08-07T10:29:44.282457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.964577Z digest=sha256:e0b8221ec34b81c8637484570fb0e0ed6516e8537a4eeb1a4224cf719b538d43

Observation c674e73c-b5fb-49d3-941a-c6739e8912c1 · outbound

This paper cites Image Generation Model Applying PCA on Latent Space.

AI-powered Contextual 3D Environment Generation: A Systematic Review Image Generation Model Applying PCA on Latent Space

Reference 118

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T10:29:45.407958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.970571Z digest=sha256:80a60b11abee70e151a4790cbeaedcffec99ea8dd59b32d6ce80b74c9d399330

Observation 30c31e86-ffa1-47a0-9134-b760c46f1632 · outbound

This paper cites Broomrocket: Open Source Text-to-3D Algorithm for 3D Object Placement.

AI-powered Contextual 3D Environment Generation: A Systematic Review Broomrocket: Open Source Text-to-3D Algorithm for 3D Object Placement

Reference 119

Resolution
verified exact
doi, observed 2026-08-07T10:29:44.267449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:29:43.976024Z digest=sha256:b93a26a4660807b6581ab913d16cadbdceb8b5844c22ee3bccd321cc0d6372ea

Observation db2fea98-57c4-4dad-9bfd-520a1d26d148 · outbound

This paper cites Image based and Point Cloud based Methods for 3D View Reconstruction in Real- time Environment.

AI-powered Contextual 3D Environment Generation: A Systematic Review Image based and Point Cloud based Methods for 3D View Reconstruction in Real- time Environment

Reference 120

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.981667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.981667Z digest=sha256:fbacf959e64b0373ba8aaae05a8aa0446b8911fb6a85e1f429599f3548f91b1d

Observation 675a851a-5572-4488-96ee-168c4bea31d6 · outbound

This paper cites GenQuery: Supporting Expressive Visual Search with Generative Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review GenQuery: Supporting Expressive Visual Search with Generative Models

Reference 121

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.987275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.987275Z digest=sha256:2355497b64925c6bbfa26854d0d54c079616d1227eeb446cc0bd14b5970abe75

Observation c17a7cff-b284-4a42-9afa-f26a9c338a14 · outbound

This paper cites Prompt- Paint: Steering Text-to-Image Generation Through Paint Medium-like Interactions.

AI-powered Contextual 3D Environment Generation: A Systematic Review Prompt- Paint: Steering Text-to-Image Generation Through Paint Medium-like Interactions

Reference 122

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:43.992088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.992088Z digest=sha256:e6e55d0f277377fe1220f3c9a078a0c074fafd9da262fd1b2162f722378feb98

Pith citing papers

No inbound Pith citation observations are available.