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20232026
most citedQ-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

33 citations · 93 across the 56 of their papers we have counts for

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Showing 2023 · cs.CVShow all

7 papers · 2 filters

cs.CV2023★ 33 cited

Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Haoning Wu, Zicheng Zhang, Weixia Zhang +11

The explosion of visual content available online underscores the requirement for an accurate machine assessor to robustly evaluate scores across diverse types of visual contents. W…

cs.CV2023

Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models

Zicheng Zhang, Haoning Wu, Zhongpeng Ji +9

Recent advancements in Multi-modality Large Language Models (MLLMs) have demonstrated remarkable capabilities in complex high-level vision tasks. However, the exploration of MLLM p…

cs.CV2023★ 2 cited

Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models

Haoning Wu, Zicheng Zhang, Erli Zhang +11

Multi-modality foundation models, as represented by GPT-4V, have brought a new paradigm for low-level visual perception and understanding tasks, that can respond to a broad range o…

cs.CV2023★ 20 cited

Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Haoning Wu, Zicheng Zhang, Erli Zhang +8

The rapid evolution of Multi-modality Large Language Models (MLLMs) has catalyzed a shift in computer vision from specialized models to general-purpose foundation models. Neverthel…

cs.CV2023★ 4 cited

AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment

Chunyi Li, Zicheng Zhang, Haoning Wu +5

With the rapid advancements of the text-to-image generative model, AI-generated images (AGIs) have been widely applied to entertainment, education, social media, etc. However, cons…

cs.CV2023★ 3 cited

GMS-3DQA: Projection-based Grid Mini-patch Sampling for 3D Model Quality Assessment

Zicheng Zhang, Wei Sun, Houning Wu +5

Nowadays, most 3D model quality assessment (3DQA) methods have been aimed at improving performance. However, little attention has been paid to the computational cost and inference…

cs.CV2023★ 4 cited

A Perceptual Quality Assessment Exploration for AIGC Images

Zicheng Zhang, Chunyi Li, Wei Sun +3

\underline{AI} \underline{G}enerated \underline{C}ontent (\textbf{AIGC}) has gained widespread attention with the increasing efficiency of deep learning in content creation. AIGC,…