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most citedEnhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning

1 citations · 1 across the 8 of their papers we have counts for

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cs.CV2026

SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing

Ying Zeng, Miaosen Luo, Guangyuan Li +10

Traditional photographic image editing typically requires users to possess sufficient aesthetic understanding to provide appropriate instructions for adjusting image quality and ca…

cs.CV2026

LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion

Clara Xue, Zizheng Yan, Zhenning Shi +5

Live Photo captures both a high-quality key photo and a short video clip to preserve the precious dynamics around the captured moment. While users may choose alternative frames as…

cs.CV2026

EditHF-1M: A Million-Scale Rich Human Preference Feedback for Image Editing

Zitong Xu, Huiyu Duan, Zhongpeng Ji +9

Recent text-guided image editing (TIE) models have achieved remarkable progress, while many edited images still suffer from issues such as artifacts, unexpected editings, unaesthet…

cs.CV2026

Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video Diffusion

Yang Yang, Tianyi Zhang, Wei Huang +6

Interactive long video generation requires prompt switching to introduce new subjects or events, while maintaining perceptual fidelity and coherent motion over extended horizons. R…

cs.CV2026

AnimeAgent: Is the Multi-Agent via Image-to-Video models a Good Disney Storytelling Artist?

Hailong Yan, Shice Liu, Tao Wang +5

Custom Storyboard Generation (CSG) aims to produce high-quality, multi-character consistent storytelling. Current approaches based on static diffusion models, whether used in a one…

cs.CV2026

SemiNFT: Learning to Transfer Presets from Imitation to Appreciation via Hybrid-Sample Reinforcement Learning

Melany Yang, Yuhang Yu, Diwang Weng +2

Photorealistic color retouching plays a vital role in visual content creation, yet manual retouching remains inaccessible to non-experts due to its reliance on specialized expertis…