[CVPR 2023] Collaborative Diffusion

A collection of resources and papers on Diffusion Models

Unified Controllable Visual Generation Model

[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model

[ECCV2022] The implementation for "Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis".

Code repository for the paper: Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild (ICCV 2021)

Re-implementation: "[CVPR 2017] Learning Detailed Face Reconstruction from a Single Image".

3D Face Reconstruction from a Single Image using Direct Volumetric CNN Regression.

Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

Source code for CVPR 2021 paper "Riggable 3D Face Reconstruction via In-Network Optimization"

Convert depth map to a 3D mesh

Efficient facial landmark detector

Extreme 3D Face Reconstruction: Looking Past Occlusions

[TIP 2021] SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

A 3DMM fitting framework using Pytorch.

Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks, CVPR 2020

The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

A curated list of resources on implicit neural representations.

Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL

3FabRec: Fast Few-shot Face alignment by Reconstruction - PyTorch implementation

This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

Training & Inference Code of PRNet in PyTorch 1.1.0