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cs.CV2026

CutVerse: A Compositional GUI Agents Benchmark for Media Post-Production Editing

Haobo Hu, Xiangwu Guo, Zhiheng Chen +4

While GUI agents have made significant progress in web navigation and basic operating system tasks, their capabilities in professional creative workflows remain largely underexplor…

cs.CV2026

Generative Neural Video Compression via Video Diffusion Prior

Qi Mao, Hao Cheng, Tinghan Yang +2

We present GNVC-VD, the first DiT-based generative neural video compression framework built upon an advanced video generation foundation model, where spatio-temporal latent compres…

cs.CV2025

IC-Effect: Precise and Efficient Video Effects Editing via In-Context Learning

Yuanhang Li, Yiren Song, Junzhe Bai +4

We propose \textbf{IC-Effect}, an instruction-guided, DiT-based framework for few-shot video VFX editing that synthesizes complex effects (\eg flames, particles and cartoon charact…

cs.CV2025

EmoAgent: A Multi-Agent Framework for Diverse Affective Image Manipulation

Qi Mao, Haobo Hu, Yujie He +3

Affective Image Manipulation (AIM) aims to alter visual elements within an image to evoke specific emotional responses from viewers. However, existing AIM approaches rely on rigid…

cs.CV2025

StarVid: Enhancing Semantic Alignment in Video Diffusion Models via Spatial and SynTactic Guided Attention Refocusing

Yuanhang Li, Qi Mao, Lan Chen +5

Recent advances in text-to-video (T2V) generation with diffusion models have garnered significant attention. However, they typically perform well in scenes with a single object and…