Junsheng Zhou's starred repositories
VolumeRenderingPriors
[ECCV'2024] Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors
Neural-Singular-Hessian
Code of Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian. ACM Transactions on Graphics (SIGGRAPH Asia 2023).
Neural-IMLS
Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction (IEEE Transactions on Visualization and Computer Graphics, TVCG)
tokenize-anything
[ECCV 2024] Tokenize Anything via Prompting
Awesome-AIGC-3D
A curated list of awesome AIGC 3D papers
VP2P-Match
[NeurIPS'2023 Spotlight]: Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
AdaptPoint
[ICCV,2023]Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions
objaverse-xl
🪐 Objaverse-XL is a Universe of 10M+ 3D Objects. Contains API Scripts for Downloading and Processing!
SnowflakeNet
(TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
LevelSetUDF
[ICCV'2023]: Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
Fantasia3D
(ICCV2023) official repository for "Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation"
Noise2NoiseMapping
[ICML'23 Oral] Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
ShapeClipper
Code repository for "ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency" in CVPR 2023.
TowardsBetterGradient
[CVPR'2023]: Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment