imskull's Stars
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
lucidrains/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
kohya-ss/sd-scripts
aqlaboratory/openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Doubiiu/DynamiCrafter
[ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
amusi/ECCV2024-Papers-with-Code
ECCV 2024 论文和开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2024论文和开源项目
WangYueFt/dgcnn
Chen-Cai-OSU/awesome-equivariant-network
Paper list for equivariant neural network
e3nn/e3nn
A modular framework for neural networks with Euclidean symmetry
autonomousvision/convolutional_occupancy_networks
[ECCV'20] Convolutional Occupancy Networks
lucidrains/meshgpt-pytorch
Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch
FabianFuchsML/se3-transformer-public
code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503
FlyingGiraffe/vnn
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
ehoogeboom/e3_diffusion_for_molecules
vgsatorras/egnn
1zb/3DShape2VecSet
MCG-NJU/SparseOcc
[ECCV 2024] Fully Sparse 3D Occupancy Prediction & RayIoU Evaluation Metric
atomicarchitects/equiformer
[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
CGuangyan-BIT/PointGPT
[NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds
atomistic-machine-learning/G-SchNet
G-SchNet - a generative model for 3d molecular structures
nintendops/EPN_PointCloud
PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).
addtt/ladder-vae-pytorch
Ladder Variational Autoencoders (LVAE) in PyTorch
widavies/WinJump
Jump to Nth virtual desktop shortcut for Windows
lucidrains/VN-transformer
A Transformer made of Rotation-equivariant Attention using Vector Neurons
nv-tlabs/AUV-NET
Cydus/Normal2Roughness
A tool for Unity uses normal maps to create more accurate roughness mipmaps.
jrwnter/pigvae
Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Frank Noe and Djork-Arne Clevert.
bram0101/Bump2Roughness
An algorithm to help bring back lost detail from mip mapped bump, normal and displacement maps, all wrapped in a GUI
Curtis-Wu/Equivariant-Graph-Transformer
A deep neural network with hybrid architecture (EGNN + Transformer) for molecular properties prediction.
AlbanGauthier/mipnet_neural_mipmap
Code for the paper "MIPNet: Neural Normal-to-Anisotropic-Roughness MIP Mapping"