stevenygd

ShapeGF

Learning Gradient Fields for Shape Generation

3d-recon

Implementation for paper "Learning Single-View 3D Reconstruction with Limited Pose Supervision".

awesome-deep-vision

A curated list of deep learning resources for computer vision

NFGP

Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.

NN.jl

Jupiter neural network library

PNF

Polynomial Neural Fields for Subband Decomposition and Manipulation

PointFlow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

SuperPointEA

Codes for paper "Learning Data-Adaptive Interest Points through Epipolar Adaptation" will be available soon.

SWALP

Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".

WAGE.pytorch

Reproduction of WAGE in PyTorch.

stevenygd/PointFlow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

stevenygd/NFGP

Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.

stevenygd/3d-recon

Implementation for paper "Learning Single-View 3D Reconstruction with Limited Pose Supervision".

stevenygd/SWALP

Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".

stevenygd/PNF

Polynomial Neural Fields for Subband Decomposition and Manipulation

stevenygd/SuperPointEA

Codes for paper "Learning Data-Adaptive Interest Points through Epipolar Adaptation" will be available soon.

stevenygd/DVGO

stevenygd/cornell-cs5785-2022-applied-ml

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2022)

stevenygd/dust3r

DUSt3R: Geometric 3D Vision Made Easy

stevenygd/GraphCNN-GAN

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

stevenygd/3d-AAE

Adversarial Autoencoders for Compact Representations of 3D Point Clouds

stevenygd/AtlasNet

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

stevenygd/consistency_models

Official repo for consistency models.

stevenygd/consistency_models_cifar10

Consistency models trained on CIFAR-10, in JAX.

stevenygd/ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

stevenygd/grass_pytorch

PyTorch Implementation of GRASS

stevenygd/K-Planes

stevenygd/latent_3d_points

Auto-encoding & Generating 3D Point-Clouds.

stevenygd/mipnerf

stevenygd/mttt

stevenygd/neural-fields-review

stevenygd/neural-statistician

PyTorch Implementation of Neural Statistician

stevenygd/nie

stevenygd/score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

stevenygd/shapenet_renderer

A clean, compact renderer for spherical images of shapenet objects in blender <2.8.

stevenygd/stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

stevenygd/symmetry_detection

A Python implementation of the paper "Symmetry and Orbit Detection via Lie-Algebra Voting"

stevenygd/tava

Code for the paper "TAVA Template-free Animatable Volumetric Actors".

stevenygd/torch-ngp

A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

stevenygd/torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.