PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting | Paper Citation Record

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

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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

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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

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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

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This paper cites an unresolved cited work.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Unresolved cited work

Reference 5

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+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

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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

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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

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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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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

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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

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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

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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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

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