Pinned Repositories
GeoDream
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation
Uni3D
[ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI
3D-OAE
[ICRA'2024]: 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
3DAttriFlow
[CVPR'2022]: 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
Awesome-LLM-3D
Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources
CAP-UDF
[TPAMI'2024 / NeurIPS'2022]: CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization
junshengzhou.github.io
LevelSetUDF
[ICCV'2023]: Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
Uni3D
Uni3D: 3D Visual Representation from BAAI
VP2P-Match
[NeurIPS'2023 Spotlight]: Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
junshengzhou's Repositories
junshengzhou/CAP-UDF
[TPAMI'2024 / NeurIPS'2022]: CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization
junshengzhou/VP2P-Match
[NeurIPS'2023 Spotlight]: Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
junshengzhou/3DAttriFlow
[CVPR'2022]: 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
junshengzhou/LevelSetUDF
[ICCV'2023]: Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
junshengzhou/3D-OAE
[ICRA'2024]: 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
junshengzhou/Uni3D
Uni3D: 3D Visual Representation from BAAI
junshengzhou/Awesome-LLM-3D
Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources
junshengzhou/junshengzhou.github.io
junshengzhou/NeuralPull-Pytorch
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
junshengzhou/tutorials
PyTorch tutorials.