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GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation
[ICCV'2023]: Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Code Release for AAAI 2023, "NeAF: Learning Neural Angle Fields for Point Normal Estimation"
A generative model of 3D facial details that can perform expression, age and wrinkle line editing (ECCV 2022).
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Trilinear interpolation for 3D Tensors implemented in Tensorflow | 可用于3D Tensor的Tensorflow三线性插值
Implementation of CVPR'2022:Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping
ECCV'22 Oral | Perceiving and Modeling Density for Single Image Dehazing.
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
[CVPR'2022]: 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions
Video intermediate frame generation based on GAN
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
[CVPR2021] Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection.