Topic: 3d-generation Goto Github
Some thing interesting about 3d-generation
Some thing interesting about 3d-generation
3d-generation,This is an open collection of state-of-the-art (SOTA), novel Text to X (X can be everything) methods (papers, codes and datasets).
User: aleeehu
3d-generation,[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
User: amir-arsalan
3d-generation,GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation
Organization: baaivision
Home Page: https://mabaorui.github.io/GeoDream_page/
3d-generation,From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"
User: buaacyw
Home Page: https://buaacyw.github.io/meshanything-v2/
3d-generation,[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model
User: chenfengye
Home Page: https://chenxin.tech/mld/
3d-generation,code for paper "Learning to Generate 3D Shapes from a Single Example", SIGGRAPH Asia 2022
User: chriswu1997
Home Page: http://www.cs.columbia.edu/cg/SingleShapeGen/
3d-generation,[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
Organization: deepseek-ai
Home Page: https://mrtornado24.github.io/DreamCraft3D/
3d-generation,Official implementation of "MoMask: Generative Masked Modeling of 3D Human Motions (CVPR2024)"
User: ericguo5513
Home Page: https://ericguo5513.github.io/momask/
3d-generation,[NeurIPS 2023] PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
User: frozenburning
Home Page: https://frozenburning.github.io/projects/primdiffusion/
3d-generation,[SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
User: frozenburning
Home Page: https://frozenburning.github.io/projects/text2light/
3d-generation,Tetrahedron Splatting for 3D Generation (coming soon).
Organization: fudan-zvg
3d-generation,GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
User: gaussiancube
Home Page: https://gaussiancube.github.io/
3d-generation,[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
User: guochengqian
Home Page: https://guochengqian.github.io/project/magic123
3d-generation,[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
User: hongfz16
Home Page: https://hongfz16.github.io/projects/AvatarCLIP.html
3d-generation,[CVPR 2024] EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion
User: huanngzh
Home Page: https://huanngzh.github.io/EpiDiff/
3d-generation,The official implementation of "CityDreamer: Compositional Generative Model of Unbounded 3D Cities". (Xie et al., CVPR 2024)
User: hzxie
Home Page: https://haozhexie.com/project/city-dreamer
3d-generation,The official implementation of "GaussianCity: Generative Gaussian Splatting for Unbounded 3D City Generation". (Xie et al., arXiv 2406.06526)
User: hzxie
Home Page: https://haozhexie.com/project/gaussian-city
3d-generation,[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
User: junshutang
3d-generation,[CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
User: jw9730
3d-generation,Unofficial Implementation of "Stable Video Diffusion Multi-View"
User: king159
3d-generation,A Collection of Papers and Codes for CVPR2024/ECCV2024 AIGC
User: kobaayyy
3d-generation,[CVPR2024 Oral] EscherNet: A Generative Model for Scalable View Synthesis
User: kxhit
Home Page: https://kxhit.github.io/EscherNet
3d-generation,Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models (ICCV2023).
User: lukashoel
Home Page: https://lukashoel.github.io/text-to-room/
3d-generation,Official implentation of "Ghost on the Shell: An Expressive Representation of General 3D Shapes" (ICLR 2024 Oral)
User: lzzcd001
Home Page: https://gshell3d.github.io
3d-generation,A curated list of papers and open-source resources focused on 3D AIGC.
User: mdyao
3d-generation,Official implementation of "En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data"
User: menyifang
3d-generation,MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
User: mingyuan-zhang
Home Page: https://mingyuan-zhang.github.io/projects/MotionDiffuse.html
3d-generation,[ECCV-2024] LN3Diff creates high-quality 3D object mesh from text within 8 V100-SECONDS.
User: nirvanalan
Home Page: https://nirvanalan.github.io/projects/ln3diff/
3d-generation,Official implementation of Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior
User: nnanhuang
3d-generation,[CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
Organization: nv-tlabs
Home Page: https://research.nvidia.com/labs/toronto-ai/xcube/
3d-generation,[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"
User: one-2-3-45
Home Page: http://one-2-3-45.com
3d-generation,MeshXL: Neural Coordinate Field for Generative 3D Foundation Models, a 3D fundamental model for mesh generation
Organization: openmeshlab
3d-generation,[NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs
Organization: openmotionlab
Home Page: https://motion-gpt.github.io
3d-generation,ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model, a unified and user-friendly shape-language model
Organization: openshapelab
Home Page: https://shapegpt.github.io
3d-generation,Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)
Organization: pals-ttic
Home Page: https://pals.ttic.edu/p/score-jacobian-chaining
3d-generation,[CVPR'24 Highlight] GPT4Point: A Unified Framework for Point-Language Understanding and Generation.
Organization: pointcept
Home Page: https://gpt4point.github.io/
3d-generation,:bulb: PseudoDiffusers: paper/code review and experimental findings related to computer vision generation and diffusion-based models
Organization: pseudo-lab
Home Page: https://pseudo-lab.github.io/pseudodiffusers/
3d-generation,single 3D shape diffusion model
User: sin3dm
Home Page: https://sin3dm.github.io/
3d-generation,Official implementation of "Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting"
Organization: wu-cvgl
Home Page: https://lizhiqi49.github.io/MVControl/
3d-generation,CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner
User: wyysf-98
Home Page: https://craftsman3d.github.io/
3d-generation,Single Image to 3D using Cross-Domain Diffusion for 3D Generation
User: xxlong0
Home Page: https://www.xxlong.site/Wonder3D/
3d-generation,Official implementation of Animate3D: Animating Any 3D Model with Multi-view Video Diffusion
User: yanqinjiang
Home Page: https://animate3d.github.io/
3d-generation,[ICLR 2024] Official Implementation of Consistent4D: Consistent 360Β° Dynamic Object Generation from Monocular Video
User: yanqinjiang
Home Page: https://consistent4d.github.io/
3d-generation,[CVPR2024] DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors.
User: younglbw
Home Page: https://younglbw.github.io/DiffusionGAN3D-homepage/
3d-generation,[NeurIPS 2022] SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping
User: yshen47
Home Page: https://yshen47.github.io/sgam/
3d-generation,An official implementation of FlexiDreamer: Single Image-to-3D Generation with FlexiCubes.
User: zhaorw02
Home Page: https://flexidreamer.github.io
3d-generation,[CVPR 2024] MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation
User: zhizdev
Home Page: https://mvd-fusion.github.io/
3d-generation,[CVPR 2023] SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
User: zhizdev
Home Page: https://sparsefusion.github.io/
3d-generation,Official code release for ICCV2023 paper AG3D: Learning to Generate 3D Avatars from 2D Image Collections
User: zj-dong
Home Page: https://zj-dong.github.io/AG3D/
3d-generation,Code repository for "ZeroShape: Regression-based Zero-shot Shape Reconstruction".
User: zxhuang1698
Home Page: https://zixuanh.com/projects/zeroshape.html
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