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MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
3D Teeth Scan Segmentation via Rotation-Invariant Descriptor
A collection of 3D reconstruction papers in the deep learning era.
[CVPR 2025] TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting
PyTorch Implementation of AudioLCM (ACM-MM'24): a efficient and high-quality text-to-audio generation with latent consistency model.
[CVPR 2024] Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models, a no lighting baked texture generative model
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner
List of projects for 3d reconstruction
✨✨Latest Advances on Multimodal Large Language Models
Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)
Implementation of ViViT: A Video Vision Transformer
Official repository for the paper "Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion" by Furkan Ozcelik and Rufin VanRullen.
Scenic: A Jax Library for Computer Vision Research and Beyond
This is an official implementation for "Video Swin Transformers".
Tools to Design or Visualize Architecture of Neural Network
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A concise but complete full-attention transformer with a set of promising experimental features from various papers
Efficient vision foundation models for high-resolution generation and perception.
Generative models (GAN, VAE, Diffusion Models, Autoregressive Models) implemented with Pytorch, Pytorch_lightning and hydra.
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionne…
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …