xianyuMeng

theseus

A library for differentiable nonlinear optimization

text2mesh

3D mesh stylization driven by a text input in PyTorch

SparseConvNet

Submanifold sparse convolutional networks

OptCuts

OptCuts, a new parameterization algorithm, jointly optimizes arbitrary embeddings for seam quality and distortion. OptCuts requires no parameter tuning; automatically generating mappings that minimize seam-lengths while satisfying user-requested distortion bounds.

Scaffold-Map

Robust, efficient and low distortion bijective mapping in 2D and 3D

ssl-relation-prediction

Simple yet SoTA Knowledge Graph Embeddings.

xatlas

Mesh parameterization / UV unwrapping library

DiffAqua

[SIGGRAPH 2021] DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation

spconv

Spatial Sparse Convolution Library

nvdiffrast

Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

nvdiffmodeling

Differentiable rasterization applied to 3D model simplification tasks

ICML2021

FreeViewSynthesis

Code repository for "Free View Synthesis", ECCV 2020.

mipnerf

nglod

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)

vnn-neural-implicits

Neural implicit reconstruction experiments for the Vector Neuron paper

Neural-Point-Cloud-Rendering-via-Multi-Plane-Projection

(CVPR 2020) Neural Point Cloud Rendering via Multi-Plane Projection

mediapy

This Python library makes it easy to display images and videos in a notebook.

speechbrain

A PyTorch-based Speech Toolkit

YCB_Affordance

Release of the YCB-Affordance dataset (CVPR 2020 Oral)

cmsc828e-spring2021

awesome-equivariant-network

Paper list for equivariant neural network

Real-time-Image-Smoothing-via-Iterative-Least-Squares

This is the released code for the paper Real-time Image Smoothing via Iterative Least Squares accepted to ACM Transactions on Graphics

awesome-implicit-representations

A curated list of resources on implicit neural representations.

CompactBilinearPooling-Pytorch

A Pytorch Implementation for Compact Bilinear Pooling.

DeepLearning

differentiable_volumetric_rendering

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

awesome-NeRF

A curated list of awesome neural radiance fields papers

NeuralPDE.jl

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

TailorNet

Code for our CVPR 2020 (ORAL) paper - TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style.