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cs.CV2026

ShutterMuse: Capture-Time Photography Guidance with MLLMs

Jiayu Li, Yixiao Fang, Tianyu Hu +5

Real-world photography requires capture-time guidance for both camera framing and subject pose. Yet existing aesthetic cropping benchmarks mainly evaluate post-hoc crop prediction…

cs.CV2026

FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining

Jinghong Lan, Wei Cheng, Yunuo Chen +10

Style-content dual-reference generation aims to synthesize an image that preserves the structure and semantics of a content reference while adopting the style of a separate style r…

cs.CV2026

MMPhysVideo: Physically Plausible Video Generation Through Joint RGB-Perception Modeling

Shubo Lin, Xuanyang Zhang, Wei Cheng +3

Despite advancements in generating visually stunning content, video diffusion models (VDMs) often yield physically inconsistent results due to pixel-only reconstruction. To address…

cs.CV2026

GEditBench v2: A Human-Aligned Benchmark for General Image Editing

Zhangqi Jiang, Zheng Sun, Xianfang Zeng +7

Recent advances in image editing have enabled models to handle complex instructions with impressive realism. However, existing evaluation frameworks lag behind: current benchmarks…

cs.CV2026

ViStoryBench: Comprehensive Benchmark Suite for Story Visualization

Cailin Zhuang, Ailin Huang, Yaoqi Hu +12

Story visualization aims to generate coherent image sequences that faithfully represent a narrative and match given character references. Despite progress in generative models, exi…

cs.CV2026

PixelSmile: Toward Fine-Grained Facial Expression Editing

Jiabin Hua, Hengyuan Xu, Aojie Li +4

Fine-grained facial expression editing has long been limited by intrinsic semantic overlap. To address this, we construct the Flex Facial Expression (FFE) dataset with continuous a…