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20232026
most citedDiffusion-Based Visual Art Creation: A Survey and New Perspectives

3 citations · 7 across the 11 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CV2026

MSEditor: Toward Consistent Multi-Shot Video Editing

Kunyu Feng, Yue Ma, Bingyuan Wang +6

In this paper, we tackle the problem of performing consistent, unified modifications to a multi-shot video sequence. This task is particularly challenging because multi-shot videos…

cs.CV2026

EmoWorld: A Decoupled Affective Field for Controllable Emotional Video Generation

Bingyuan Wang, Baistan Zhyldyzbekov, Kunyu Feng +1

Emotion shapes how viewers interpret a scene, yet existing video generators entangle global atmosphere, affect-bearing semantic cues, and temporal progression within a single text…

cs.CV2026

InstanceAnimator: Multi-Instance Sketch Video Colorization

Yinhan Zhang, Yue Ma, Bingyuan Wang +5

We propose InstanceAnimator, a novel Diffusion Transformer framework for multi-instance sketch video colorization. Existing methods suffer from three core limitations: inflexible u…

cs.HC2026★ 1 cited

GatheringSense: AI-Generated Imagery and Embodied Experiences for Understanding Literati Gatherings

You Zhou, Bingyuan Wang, Hongcheng Guo +2

Chinese literati gatherings (Wenren Yaji), as a situated form of Chinese traditional culture, remain underexplored in depth. Although generative AI supports powerful multimodal gen…

cs.HC2026★ 1 cited

Gen-Diaolou: An Integrated AI-Assisted Interactive System for Diachronic Understanding and Preservation of the Kaiping Diaolou

Lei Han, Yi Gao, Xuanchen Lu +4

The Kaiping Diaolou and Villages, a UNESCO World Heritage Site, exemplify hybrid Chinese and Western architecture shaped by migration culture. However, architectural heritage engag…

cs.CV2026

EmoSpace: Immersive Affective Image Generation Guided by Fine-Grained Emotion Prototypes

Bingyuan Wang, Xingbei Chen, Zongyang Qiu +2

Immersive affective content generation aims to create visually compelling VR imagery with controllable emotional nuance, yet existing methods typically rely on coarse labels or pro…