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"

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

Differentiable Surface Splatting

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

AutoLens: automated lens design from scratch.

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

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

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

[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering

Auto-differentiable digitally reconstructed radiographs in PyTorch

[cvpr 20] Demo, training and evaluation code for joint hand-object pose estimation in sparsely annotated videos

A framework for 4D reconstruction from monocular videos.

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

[CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering

Rastering algorithm to approximate the rendering of a 3D model silhouette in a fully differentiable way.

Escaping Plato’s Cave: 3D Shape from Adversarial Rendering [ICCV 2019]

Python implementation of Bayesian Program Learning tools (with PyTorch)