3 citations · 7 across the 11 of their papers we have counts for
12 papers
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…
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…
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…
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…
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…
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…
EmoVid: A Multimodal Emotion Video Dataset for Emotion-Centric Video Understanding and Generation
Zongyang Qiu, Bingyuan Wang, Xingbei Chen +2
Emotion plays a pivotal role in video-based expression, but existing video generation systems predominantly focus on low-level visual metrics while neglecting affective dimensions.…
MagicAnime: A Hierarchically Annotated, Multimodal and Multitasking Dataset with Benchmarks for Cartoon Animation Generation
Shuolin Xu, Bingyuan Wang, Zeyu Cai +5
Generating high-quality cartoon animations multimodal control is challenging due to the complexity of non-human characters, stylistically diverse motions and fine-grained emotions.…
Follow-Your-Color: Multi-Instance Sketch Colorization
Yinhan Zhang, Yue Ma, Bingyuan Wang +2
We present Follow-Your-Color, a diffusion-based framework for multi-instance sketch colorization. The production of multi-instance 2D line art colorization adheres to an industry-s…
DiT4Edit: Diffusion Transformer for Image Editing
Kunyu Feng, Yue Ma, Bingyuan Wang +4
Despite recent advances in UNet-based image editing, methods for shape-aware object editing in high-resolution images are still lacking. Compared to UNet, Diffusion Transformers (D…
Diffusion-Based Visual Art Creation: A Survey and New Perspectives
Bingyuan Wang, Qifeng Chen, Zeyu Wang
The integration of generative AI in visual art has revolutionized not only how visual content is created but also how AI interacts with and reflects the underlying domain knowledge…
MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising
Bingyuan Wang, Hengyu Meng, Zeyu Cai +4
Visual storytelling often uses nontypical aspect-ratio images like scroll paintings, comic strips, and panoramas to create an expressive and compelling narrative. While generative…