A PyTorch Library for Accelerating 3D Deep Learning Research

Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"

Point-NeRF: Point-based Neural Radiance Fields

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)

Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]

SVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.

Differentiable Surface Splatting

A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces

A framework for 4D reconstruction from monocular videos.

[ECCV 2024 - ORAL] Official PyTorch implementation of Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering

Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022)

[SIGGRAPH Asia 2025 - TOG] Official implementation of MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction

Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

[CVPR 2025] Official PyTorch implementation of MAtCha Gaussians: Atlas of Charts for High-Quality Geometry and Photorealism From Sparse Views

Auto-differentiable digitally reconstructed radiographs in PyTorch

Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.

Automated lens design from scratch.

TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".

(ECCV 2022) Code for Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency