Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:20:13.501997Z
Paper Citation Record · LEDGER
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting
As of 8 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2505.15528.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
62 of 62 outbound references displayed
- verified exact6
- verified fuzzy35
- unresolved21
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 55b9d679-9141-4c23-b366-979aa3728dcf · outbound
This paper cites A realistic syn- thetic mushroom scenes dataset.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting A realistic syn- thetic mushroom scenes dataset
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:22.220885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 13d49f83-273c-4ad3-8a64-591c760b829a · outbound
This paper cites Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:20:14.507408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f17a5a5f-df1e-43bb-9116-85d7fd924774 · outbound
This paper cites The added value of 3d point clouds for digital plant phenotyping–a case study on internode length measurements in cucumber.biosystems engineering, 234:1–12, 2023.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting The added value of 3d point clouds for digital plant phenotyping–a case study on internode length measurements in cucumber.biosystems engineering, 234:1–12, 2023
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:22.066064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b3b0728e-920c-46d9-b17f-6b6957fa497a · outbound
This paper cites TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:20:14.388014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a8ee876b-14e5-4058-a352-2cd53a845359 · outbound
This paper cites an unresolved cited work.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:20:21.811398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f10c2897-c052-454e-a7b9-b67ae5b018c9 · outbound
This paper cites Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:21.603572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 76cc2fef-de7c-4d62-a34c-bfb3aa1bc2e6 · outbound
This paper cites Control3D: Towards Controllable Text-to-3D Generation.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Control3D: Towards Controllable Text-to-3D Generation
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:20:14.276111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3ff3ad99-628e-4d87-9871-fb4c60399dfe · outbound
This paper cites Text-to-3d using gaussian splatting.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Text-to-3d using gaussian splatting
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:21.383299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 22bbb149-cc50-4915-9eaf-a4fc8b2c9189 · outbound
This paper cites Michels, Soren Pirk, Chia- Chun Fu, and Wojciech Palubicki.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Michels, Soren Pirk, Chia- Chun Fu, and Wojciech Palubicki
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:21.193617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3cb4260d-9f59-49c7-b087-1dac844a8d92 · outbound
This paper cites Blender Foundation, Stichting Blender Foundation, Amsterdam, 2018.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Blender Foundation, Stichting Blender Foundation, Amsterdam, 2018
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:21.032183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation df8d6dc0-e5ad-4ae7-bc7c-dd22faf2df03 · outbound
This paper cites Rose-x: an annotated data set for evaluation of 3d plant organ segmentation methods.Plant methods, 16: 1–14, 2020.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Rose-x: an annotated data set for evaluation of 3d plant organ segmentation methods.Plant methods, 16: 1–14, 2020
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:20.856718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6fdbb052-bbcb-463d-9c9e-5d74dbc76b6b · outbound
This paper cites an unresolved cited work.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:20:20.660418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 39963ce9-254d-4a96-bc0d-d5ec3733008f · outbound
This paper cites Easydcp: An afford- able, high-throughput tool to measure plant phenotypic traits in 3d.Methods in Ecology and Evolution, 12(9):1679–1686,.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Easydcp: An afford- able, high-throughput tool to measure plant phenotypic traits in 3d.Methods in Ecology and Evolution, 12(9):1679–1686,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:20.456428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5098a56a-9e54-47af-b0fd-416b6460a39a · outbound
This paper cites Lidar platform for acquisition of 3d plant phenotyping database.Plants, 11(17):2199, 2022.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Lidar platform for acquisition of 3d plant phenotyping database.Plants, 11(17):2199, 2022
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:20.250496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 17563657-e21d-46a0-8ee6-05901b66fdfa · outbound
This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Generative adversarial nets.Advances in neural information processing systems, 27, 2014
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:09.077873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f66e280d-71c1-47cd-9d6c-b8412f65f992 · outbound
This paper cites HeadSculpt: Crafting 3D Head Avatars with Text.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting HeadSculpt: Crafting 3D Head Avatars with Text
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:20:14.168222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fc61288b-7a50-4165-82d8-6456c56e63a0 · outbound
This paper cites Domain targeted synthetic plant style transfer using stable diffusion lora and controlnet.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Domain targeted synthetic plant style transfer using stable diffusion lora and controlnet
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:20.071882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2885ee5d-c671-432c-9458-d54d50b1b4c6 · outbound
This paper cites T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:09.439825Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13ab4802-cc56-465e-9c42-381cf7e60b85 · outbound
This paper cites SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:20:13.994591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b9c52aec-e0c7-4318-b014-a927a3e68426 · outbound
This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:09.696329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5110e29-6a6f-4d18-b0a2-c0d1ef764249 · outbound
This paper cites Text2room: Extracting textured 3d meshes from 2d text-to-image models.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Text2room: Extracting textured 3d meshes from 2d text-to-image models
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:19.861013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 15583dba-8c32-42f2-bb57-690c9fcc3226 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting LoRA: Low-Rank Adaptation of Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:09.926831Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9631595b-fc63-4808-b222-e4893ff1b9fd · outbound
This paper cites High-fidelity 3d reconstruction of plants using neural radiance fields.Computers and Electronics in Agri- culture, 220:108848, 2024.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting High-fidelity 3d reconstruction of plants using neural radiance fields.Computers and Electronics in Agri- culture, 220:108848, 2024
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:19.698613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d40464b6-5a80-4063-885b-bee7f6485c19 · outbound
This paper cites Structure from motion photogrammetry in forestry: A review.Current Forestry Reports, 5:155–168, 2019.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Structure from motion photogrammetry in forestry: A review.Current Forestry Reports, 5:155–168, 2019
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:19.496952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e84717cf-3228-43a9-befe-d1f00267b400 · outbound
This paper cites Avatar- craft: Transforming text into neural human avatars with pa- rameterized shape and pose control.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Avatar- craft: Transforming text into neural human avatars with pa- rameterized shape and pose control
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:10.224240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73b11e00-2a61-47ed-9685-fe321b140d8e · outbound
This paper cites Plant geometry reconstruction from field data using neural radiance fields.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Plant geometry reconstruction from field data using neural radiance fields
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:19.267313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 588d3310-5437-4c83-a2c7-a31dfc3e8a68 · outbound
This paper cites Shap-E: Generating Conditional 3D Implicit Functions.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Shap-E: Generating Conditional 3D Implicit Functions
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:10.392762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f2f3b2d-4f6b-4f98-a20f-f95d7d74d221 · outbound
This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (ToG), 42(4):1–14, 2023.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (ToG), 42(4):1–14, 2023
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:19.055117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 30fd4966-ac7c-4f3b-82ca-d910b1b95ebf · outbound
This paper cites Synthetic data at scale: a development model to efficiently leverage machine learning in agriculture.Frontiers in Plant Science, 15:1360113, 2024.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Synthetic data at scale: a development model to efficiently leverage machine learning in agriculture.Frontiers in Plant Science, 15:1360113, 2024
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:18.863185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e91dfe50-ac1a-4be9-9e5d-086bf5401445 · outbound
This paper cites Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:10.677123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35dd16c5-3809-4081-aa8d-45c0b3c708d5 · outbound
This paper cites MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:10.767560Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e50fa33-c9a1-46d5-bb7d-39a95287d86f · outbound
This paper cites Luciddreamer: Towards high- fidelity text-to-3d generation via interval score matching.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Luciddreamer: Towards high- fidelity text-to-3d generation via interval score matching
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:18.724119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation db7e84bb-c0de-490a-a4ae-72dfc63b4580 · outbound
This paper cites Magic3d: High-resolution text-to-3d content creation.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Magic3d: High-resolution text-to-3d content creation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:18.504947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fa9f6b16-2500-48c8-87f1-2cdf2677c0a3 · outbound
This paper cites an unresolved cited work.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:20:18.215175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a19563d1-a12d-49b2-8669-aa3ffd40e90e · outbound
This paper cites Latent-nerf for shape-guided generation of 3d shapes and textures.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Latent-nerf for shape-guided generation of 3d shapes and textures
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:17.966885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3c01105f-2a2d-434c-bece-e4ee61941a47 · outbound
This paper cites Deep learning in image-based plant phe- notyping.Annual Review of Plant Biology, 75, 2024.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Deep learning in image-based plant phe- notyping.Annual Review of Plant Biology, 75, 2024
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:17.691497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation af9f06b8-90de-401b-b621-8d00ff7fb689 · outbound
This paper cites Splanting: 3d plant capture with gaussian splatting.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Splanting: 3d plant capture with gaussian splatting
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:17.447540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5c3c5c0c-b1c4-4b8e-bc09-b0b9ac84d9d6 · outbound
This paper cites DreamFusion: Text-to-3D using 2D Diffusion.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting DreamFusion: Text-to-3D using 2D Diffusion
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:11.344437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdbbd27c-8352-47be-9695-ea641f7471d9 · outbound
This paper cites Graphical applications of l- systems.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Graphical applications of l- systems
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:17.201250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 42011523-08ab-4be3-b43b-50c489f6941b · outbound
This paper cites Texture: Text-guided texturing of 3d shapes.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Texture: Text-guided texturing of 3d shapes
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:11.545627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d34f8d8b-43b6-40b4-abe3-7cfa9cfb2873 · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting High-resolution image synthesis with latent diffusion models
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:11.626682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8338360-dcc1-4cff-9fd7-3b672a5600a2 · outbound
This paper cites Academic press, 1980.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Academic press, 1980
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:16.928368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f5a3f093-dd71-485c-bd77-ff4180db06f4 · outbound
This paper cites Peanutnerf: 3d radiance field for peanuts.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Peanutnerf: 3d radiance field for peanuts
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:16.705907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cfb1f2c6-e71e-4cd3-aefa-8d1f9b8ef094 · outbound
This paper cites Structure-from-motion revisited.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Structure-from-motion revisited
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:11.930847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5853c97e-876b-4b0a-8507-e9038501c8f5 · outbound
This paper cites Pheno4d: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and ad- vanced plant analysis.PLOS ONE, 16(8):1–18, 2021.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Pheno4d: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and ad- vanced plant analysis.PLOS ONE, 16(8):1–18, 2021
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:16.460356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 63f9743b-372d-4e01-b9b7-7c957e518213 · outbound
This paper cites A comparison and evalua- tion of multi-view stereo reconstruction algorithms.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting A comparison and evalua- tion of multi-view stereo reconstruction algorithms
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:16.213152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b5c4b33f-916e-4597-a190-805ea7183f0d · outbound
This paper cites Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:12.164558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c97e93a-df18-447e-b959-3772f9234fbf · outbound
This paper cites 3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting 3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:20:13.706119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e0ce05d0-cf57-4cb2-a468-080a1b1b8c5b · outbound
This paper cites High-fidelity wheat plant reconstruction using 3d gaussian splatting and neural radiance fields.GigaScience, In Press,.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting High-fidelity wheat plant reconstruction using 3d gaussian splatting and neural radiance fields.GigaScience, In Press,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:15.985204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c585ae40-1efa-47d7-b402-5cea97a60bc1 · outbound
This paper cites Soybean-mvs: Annotated three-dimensional model dataset of whole growth period soybeans for 3d plant organ segmentation.Agriculture, 13(7), 2023.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Soybean-mvs: Annotated three-dimensional model dataset of whole growth period soybeans for 3d plant organ segmentation.Agriculture, 13(7), 2023
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:15.744973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c7902b22-c60d-401e-81e7-5d07b42b6406 · outbound
This paper cites 3dphenomvs: A low-cost 3d tomato pheno- typing pipeline using 3d reconstruction point cloud based on multiview images.Agronomy, 12(8):1865, 2022.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting 3dphenomvs: A low-cost 3d tomato pheno- typing pipeline using 3d reconstruction point cloud based on multiview images.Agronomy, 12(8):1865, 2022
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:15.596580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8827291b-01d0-42ea-a26b-fa230beb00a1 · outbound
This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in Neural Information Processing Systems, 36:8406–8441, 2023.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in Neural Information Processing Systems, 36:8406–8441, 2023
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:15.399521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f3d6e7db-9507-4912-910f-036ae95fa82e · outbound
This paper cites A synthetic datasets based instance segmentation network for high-throughput soybean pods phenotype investigation.Ex- pert systems with applications, 192:116403, 2022.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting A synthetic datasets based instance segmentation network for high-throughput soybean pods phenotype investigation.Ex- pert systems with applications, 192:116403, 2022
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:15.296567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 014c6383-72ed-42d2-bb58-1be53bb7421d · outbound
This paper cites Crop phenomics and high-throughput phe- notyping: past decades, current challenges, and future per- spectives.Molecular plant, 13(2):187–214, 2020.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Crop phenomics and high-throughput phe- notyping: past decades, current challenges, and future per- spectives.Molecular plant, 13(2):187–214, 2020
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:15.146087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f2c6faa5-0610-4d1d-afea-47caa92ab913 · outbound
This paper cites GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:12.869934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ec0aeca-69a8-4c82-adf0-93317db58f44 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Adding conditional control to text-to-image diffusion models
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:12.947167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 501b6d48-5ede-42c1-b700-a3402ab588e9 · outbound
This paper cites Open3D: A Modern Library for 3D Data Processing.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Open3D: A Modern Library for 3D Data Processing
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:13.042975Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09ccae72-7c46-4ec2-9683-9d401f9e87a5 · outbound
This paper cites HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:13.135528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 107707b2-ba19-41be-8961-bb4708d7f0c0 · outbound
This paper cites Crops3d: a diverse 3d crop dataset for realis- tic perception and segmentation toward agricultural applica- tions.Scientific Data, 11(1):1438, 2024.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Crops3d: a diverse 3d crop dataset for realis- tic perception and segmentation toward agricultural applica- tions.Scientific Data, 11(1):1438, 2024
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:15.022086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 81fbd598-d58a-41fe-b6bf-bfab7e83394e · outbound
This paper cites Machine learning ap- proaches to improve three basic plant phenotyping tasks us- ing three-dimensional point clouds.Plant physiology, 181 (4):1425–1440, 2019.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Machine learning ap- proaches to improve three basic plant phenotyping tasks us- ing three-dimensional point clouds.Plant physiology, 181 (4):1425–1440, 2019
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:14.862251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2f90a404-2d2a-4100-a00e-cca0b3ff897f · outbound
This paper cites an unresolved cited work.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:20:14.719284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b585b5de-dc65-476e-9a00-a74d8e2f8d54 · outbound
This paper cites Figure 8.
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Figure 8
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:20:14.603548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.