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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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9 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.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…

cs.CV2025

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.…

cs.CV2025

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.…

cs.CV2025

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…

cs.CV2024★ 1 cited

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…

cs.CV2023★ 1 cited

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…