kang-gnak

AesBench

An expert benchmark aiming to comprehensively evaluate the aesthetic perception capacities of MLLMs.

Awesome-Image-Quality-Assessment

A comprehensive collection of IQA papers

stable-diffusion-aesthetic-gradients

Personalization for Stable Diffusion via Aesthetic Gradients 🎨

BAID

IQA-PyTorch

👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

IC9600

NSFC-application-template-latex

国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）

Aestheval

Code for the paper "Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment"

PA_IAA

tvsum

TVSum: Title-based Video Summarization dataset (CVPR 2015)

Video-Summarization-Using-Attention-Based-Encoder-Decoder-Model

In this model we uses Attention Based model to summarize the video. The output of the video will be 15% of the original video as summary. Also It's a Supervised Model.

CenseoQoE

image and video quality assessment

Awesome-Image-Composition

A curated list of papers, code and resources pertaining to image composition/compositing or object insertion, which aims to generate realistic composite image.

MUAD-Dataset

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]

DPC-Captions

A image caption dataset about images from www.dpchallenge.com.

MVVA-Net

MVVA-Net: A Video Aesthetic Quality Assessment Network with Cognitive Fusion of Multi-type Feature Based Strong Generalization

TANet-image-aesthetics-and-quality-assessment

[IJCAI 2022, Official Code] for paper "Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks". Official Weights and Demos provided. 首个面向多主题场景的美学评估数据集、算法和benchmark.

segmentation-paper-reading-notes

segmentation paper reading notes

troubleshooting_BIQA

This is the official released code for troubleshooting BIQA in the wild

A01_cvclass_basic

resources for CV

Awesome-Aesthetic-Evaluation-and-Cropping

ReGO-Pytorch

MPADA

The official implementation of MP_{ada} in Attention-based Multi-patch Aggregation for Image Aesthetic Assessment (MM 2018)

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

MAE-pytorch

Masked Autoencoders Are Scalable Vision Learners

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

vision_transformer