most citedAffective Image Editing: Shaping Emotional Factors via Text Descriptions

3 citations · 3 across the 5 of their papers we have counts for

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cs.CV2026

FlowDance: Music-Driven Dance Video Generation with Parallel Pose and RGB Streams

Genying Li, Boda Lin, Jiachen Li +5

Music-driven dance video synthesis aims to animate a reference person according to a given music clip. The task is challenging because it requires a model to jointly learn music-to…

cs.CV2026

ReContraster: Making Your Posters Stand Out with Regional Contrast

Peixuan Zhang, Zijian Jia, Ziqi Cai +3

Effective poster design requires rapidly capturing attention and clearly conveying messages. Inspired by the ``contrast effects'' principle, we propose ReContraster, the first trai…

cs.CV2025

STAGE: Storyboard-Anchored Generation for Cinematic Multi-shot Narrative

Peixuan Zhang, Zijian Jia, Kaiqi Liu +3

While recent advancements in generative models have achieved remarkable visual fidelity in video synthesis, creating coherent multi-shot narratives remains a significant challenge.…

cs.CV2025

PanoWan: Lifting Diffusion Video Generation Models to 360° with Latitude/Longitude-aware Mechanisms

Yifei Xia, Shuchen Weng, Siqi Yang +6

Panoramic video generation enables immersive 360° content creation, valuable in applications that demand scene-consistent world exploration. However, existing panoramic video gener…

cs.CV2025★ 3 cited

Affective Image Editing: Shaping Emotional Factors via Text Descriptions

Peixuan Zhang, Shuchen Weng, Chengxuan Zhu +4

In daily life, images as common affective stimuli have widespread applications. Despite significant progress in text-driven image editing, there is limited work focusing on underst…