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cs.CV2026

Beyond Absolute Scores: Relative Edit-induced Difference for Generalizable Image Aesthetic Assessment

Qifei Jia, Xintong Yao, Yasen Zhang +7

Traditional Image Aesthetic Assessment (IAA) methods mainly rely on regressing absolute Mean Opinion Scores (MOS). However, such a paradigm overlooks the inherently dynamic nature…

cs.CV2026

SIGMA: Bridging Structural and Distributional Gaps for Vision Foundation Model Adaptation

Lingyu Xiong, Jinjin Shi, Xuran Xu +3

Vision Foundation Models (VFMs) have demonstrated impressive representational capabilities. However, adapting them to downstream tasks via full fine-tuning incurs prohibitive compu…

cs.CV2026

Pareto-Enhanced Portrait Generation: Vision-Aligned Text Supervision for Alignment, Realism, and Aesthetics

Yunlong Wang, Jinjin Shi, Wenbin Gao +3

Text-to-image diffusion models often face a severe trilemma in human portrait generation: text-image alignment, photorealism, and human-perceived aesthetics inherently inhibit one…

cs.CV2026

GUI-CEval: A Hierarchical and Comprehensive Chinese Benchmark for Mobile GUI Agents

Yang Li, Yuchen Liu, Haoyu Lu +8

Recent progress in Multimodal Large Language Models (MLLMs) has enabled mobile GUI agents capable of visual perception, cross-modal reasoning, and interactive control. However, exi…

cs.CV2025

HyperVL: An Efficient and Dynamic Multimodal Large Language Model for Edge Devices

HyperAI Team, Yuchen Liu, Kaiyang Han +26

Current multimodal large lanauge models possess strong perceptual and reasoning capabilities, however high computational and memory requirements make them difficult to deploy direc…

cs.CV2025

Lego-Edit: A General Image Editing Framework with Model-Level Bricks and MLLM Builder

Qifei Jia, Yu Liu, Yajie Chai +6

Instruction-based image editing has garnered significant attention due to its direct interaction with users. However, real-world user instructions are immensely diverse, and existi…