sanghiad

sanghiad's Stars

• nv-tlabs/GET3D

  Language:Python4.2k374

• qiminchen/UNIST

  Pytorch Implementation of "UNIST: Unpaired Neural Implicit Shape Translation Network", CVPR 2022

  Language:Python172

• AutodeskAILab/UV-Net

  Code for UV-Net: Learning from Boundary Representations, CVPR 2021.

  Language:Python8614

• jchibane/if-net

  Implicit Feature Network (IF-Net) - Codebase

  Language:Python30958

• vsitzmann/siren

  Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

  Language:Python1.7k247

• fwilliams/deep-geometric-prior

  The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"

  Language:Python12516

• fwilliams/point-cloud-utils

  An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

  Language:C++1.3k106

• tancik/fourier-feature-networks

  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

  Language:Jupyter Notebook1.2k131

• lucidrains/siren-pytorch

  Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function

  Language:Python46249

• tensorflow/graphics

  TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

  Language:Python2.7k361

• ocornut/imgui

  Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

  Language:C++59.1k10.1k

• loeweX/Greedy_InfoMax

  Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations

  Language:Python28336

• sebastianstarke/AI4Animation

  Bringing Characters to Life with Computer Brains in Unity

  Language:C++7.8k1.1k

• bshall/VectorQuantizedVAE

  A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"

  Language:Jupyter Notebook7116

• ermongroup/ncsn

  Noise Conditional Score Networks (NeurIPS 2019, Oral)

  Language:Python65494

• idiap/attention-sampling

  This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using attention-sampling

  Language:Python9718

• vincent-thevenin/Realistic-Neural-Talking-Head-Models

  My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

  Language:Python828196

• ranahanocka/MeshCNN

  Convolutional Neural Network for 3D meshes in PyTorch

  Language:Python1.6k315

• williamhunter/topy

  Topology Optimization using Python

  Language:Python471129

• utayao/Atten_Deep_MIL

  Attention-based Deep MIL implementation and application

  Language:Python15733

• czq142857/implicit-decoder

  The code for paper "Learning Implicit Fields for Generative Shape Modeling".

  Language:Python38845

• panmari/stanford-shapenet-renderer

  Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.

  Language:Python48295

• nicola-decao/BNAF

  Pytorch implementation of Block Neural Autoregressive Flow

  Language:Python17433

• 3DLIRIOUS/MeshLabXML

  Create and run MeshLab XML scripts with Python

  Language:Python20243

• zddhub/trianglemesh

  This is a powerful 3d line drawing extract framework

  Language:C++3718

• xu-ji/IIC

  Invariant Information Clustering for Unsupervised Image Classification and Segmentation

  Language:Python858206

• clovaai/WCT2

  Software that can perform photorealistic style transfer without the need of any post-processing steps.

  Language:Python866143

• rtqichen/ffjord

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

  Language:Python619140

• IraKorshunova/bruno

  a deep recurrent model for exchangeable data

  Language:Python348

• JiaxuanYou/graph-generation

  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

  Language:Python686141