detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

diffusers

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

diffusionclip

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

dl-netstructure

DL's network structure

domain-adaptive-faster-rcnn-pytorch

Domain Adaptive Faster R-CNN in PyTorch

exposureip

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

facedetection-dsfd

腾讯优图高精度双分支人脸检测器

fog_simulation-sfsu_synthetic

A method for generating Foggy Cityscape DBF dataset.

gazeformer

Official codebase for "Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention" (CVPR 2023)

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

generalising-structural-knowledge

giqa

Pytorch implementation of Generated Image Quality Assessment

gradient_descent_viz

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

hla-face-code

Code for HLA-Face: Joint High-Low Adaptation for Low Light Face Detection (CVPR21)

image-adaptive-yolo

The code for "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions (AAAI 2022)"

imageqa

Image quality assessment for low-light image enhancement.

instructir

InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

intrada

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

ip-adapter

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

irn

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

lacr-vae

Light-Aware Contrastive Learning for Low-Light Image Enhancement

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

lime

Reimplementation of the paper "LIME: A Method for Low-light IMage Enhancement" in ACM MM 2016.

lrcr_net

TETCI: Coarse-to-Fine Low-light Image Enhancement with Light Restoration and Color Refinement

mamba

micrograd

(自动求导演示)A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mr-vae

计算机学报-“一种基于MR-VAR的低照度图像增强方法”

opence

Contrast Enhancement Techniques for low-light images

paper-reading

Notes for papers.