Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Official pytorch implementation for "LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models"

This is a pytorch implementation of Denoising Diffusion Implicit Models

Official PyTorch implementation of Video Probabilistic Diffusion Models in Projected Latent Space (CVPR 2023).

"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the i…

Denoising Diffusion Implicit Models

[CVPR 2024 Highlight] Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

Physics-based Noise Modeling for Extreme Low-light Photography (CVPR 2020 Oral & TPAMI 2021)

CAVIS: Context-Aware Video Instance Segmentation

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper

[CVPR'23] A Generalized Framework for Video Instance Segmentation

🌕 [ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.

This is the official code for the paper "SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation".

Temporally Efficient Vision Transformer for Video Instance Segmentation, CVPR 2022 Oral

[CVPR2024] Multi-Object Tracking in the Dark

End-to-End Object Detection with Transformers

Collection of common code that's shared among different research projects in FAIR computer vision team.

Count the MACs / FLOPs of your PyTorch model.

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"