[IEEE TCSVT'24] Study of Subjective and Objective Naturalness Assessment of AI-Generated Images

🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

一本系统地教你将深度学习模型的性能最大化的战术手册。

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Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.

The code source of MoE-DiffIR

MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

Code for Learning Subject-Aware Cropping by Outpainting Professional Photos

Official PyTorch implementation of the “Spatial-Semantic Collaborative Cropping for User Generated Content”. (AAAI24)

Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

[TPAMI] Multi-modality Multi-attribute Contrastive Pre-training for Image Aesthetics Computing

Semantics-Aware Image Aesthetics Assessment using Tag Matching and Contrastive Ranking (ACM MM2024)

Multi-Level Transitional Contrast Learning for Personalized Image Aesthetics Assessment (TMM2023)

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

【CVPR 2024 Highlight】Monkey (LMM): Image Resolution and Text Label Are Important Things for Large Multi-modal Models

[LMM + AIGC] What do we expect from LMMs as AIGI evaluators and how do they perform?

③[ICML2024] [IQA, IAA, VQA] All-in-one Foundation Model for visual scoring. Can efficiently fine-tune to downstream datasets.

②[CVPR 2024] Low-level visual instruction tuning, with a 200K dataset and a model zoo for fine-tuned checkpoints.

①[ICLR2024 Spotlight] (GPT-4V/Gemini-Pro/Qwen-VL-Plus+16 OS MLLMs) A benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.

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

[ACMMM 2024] AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception

[TCSVT 2024] Official code release of our paper "Towards Explainable Image Aesthetics Assessment With Attribute-Oriented Critiques Generation"

一些关于写论文的教程,防止犯一些低级错误