Yipo Huang

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@yipoh

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

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

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

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TAVAR. [TCSVT] Theme-aware Visual Attribute Reasoning for Image Aesthetics Assessment

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SARQUE. [TMM] Explainable and Generalizable Blind Image Quality Assessment via Semantic Attribute Reasoning

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DSS. [SPL] Blind Quality Index of Depth Images Based on Structural Statistics for View Synthesis

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CODIF. [TCSVT] Predicting the Quality of View Synthesis With Color-Depth Image Fusion

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Awesome_Multimodel_LLM. Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.

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aes-expert. JavaScript

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