autoupdate paper list

Generative Models by Stability AI

Vector (and Scalar) Quantization, in Pytorch

Acceptance rates for the major AI conferences

code for CVPR2024 paper: DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction

Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything

SOTA Re-identification Methods and Toolbox

Framework for Easily Invertible Architectures

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

An open source implementation of CLIP.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation

Hyperbolic Graph Convolutional Networks in PyTorch.

Code for paper Fully Hyperbolic Neural Networks

Riemannian Adaptive Optimization Methods with pytorch optim

High-Resolution Image Synthesis with Latent Diffusion Models

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Hackable and optimized Transformers building blocks, supporting a composable construction.

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Geometric Computer Vision Library for Spatial AI

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Simple, safe way to store and distribute tensors

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Open3D: A Modern Library for 3D Data Processing

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.