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20242026
most citedCreativeSynth: Cross-Art-Attention for Artistic Image Synthesis with Multimodal Diffusion

2 citations · 4 across the 18 of their papers we have counts for

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cs.CV2026

StreamHOI: Interaction-aware Temporal Memory Adaptation for Streaming HOI Video Generation

Zejing Rao, Haoxian Zhang, Xiaoqiang Liu +5

Existing human--object interaction (HOI) video generation methods are largely limited to offline short-video generation with complex driving conditions, making them unsuitable for…

cs.CV2026

Self-Reasoning Agentic Framework for Narrative Product Grid-Collage Generation

Minyan Luo, Yuxin Zhang, Yifei Li +5

Narrative-driven product photography has become a prevalent paradigm in modern marketing, as coherent visual storytelling helps convey product value and establishes emotional engag…

cs.CV2026

Beyond Pixels: Visual Metaphor Transfer via Schema-Driven Agentic Reasoning

Yu Xu, Yuxin Zhang, Lin Gao +3

A visual metaphor constitutes a high-order form of human creativity, employing cross-domain semantic fusion to transform abstract concepts into impactful visual rhetoric. Despite t…

cs.CV2026

Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment

Henglin Liu, Nisha Huang, Chang Liu +6

The aesthetic quality assessment task is crucial for developing a human-aligned quantitative evaluation system for AIGC. However, its inherently complex nature, spanning visual per…

cs.CV2026

TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts

Yu Xu, Hongbin Yan, Juan Cao +11

Unified image generation and editing models suffer from severe task interference in dense diffusion transformers architectures, where a shared parameter space must compromise betwe…

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

In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation

Yu Xu, Fan Tang, You Wu +6

Recent advances in diffusion models have enhanced multimodal-guided visual generation, enabling customized subject insertion that seamlessly "brushes" user-specified objects into a…

cs.CV2025

Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration

Haipeng Fang, Sheng Tang, Juan Cao +3

Diffusion transformers have shown exceptional performance in visual generation but incur high computational costs. Token reduction techniques that compress models by sharing the de…

cs.CV2025

IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting

Yuxin Zhang, Minyan Luo, Weiming Dong +6

The stories and characters that captivate us as we grow up shape unique fantasy worlds, with images serving as the primary medium for visually experiencing these realms. Personaliz…

cs.CV2024

Interactive Visual Assessment for Text-to-Image Generation Models

Xiaoyue Mi, Fan Tang, Juan Cao +5

Visual generation models have achieved remarkable progress in computer graphics applications but still face significant challenges in real-world deployment. Current assessment appr…

cs.CV2024

HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads

Yu Xu, Fan Tang, Juan Cao +5

Diffusion Transformers (DiTs) have exhibited robust capabilities in image generation tasks. However, accurate text-guided image editing for multimodal DiTs (MM-DiTs) still poses a…

cs.CV2024

Break-for-Make: Modular Low-Rank Adaptations for Composable Content-Style Customization

Yu Xu, Fan Tang, Juan Cao +5

Personalized generation paradigms empower designers to customize visual intellectual properties with the help of textual descriptions by tuning or adapting pre-trained text-to-imag…

cs.CV2024

Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework

Ziyao Huang, Fan Tang, Yong Zhang +4

Despite the remarkable process of talking-head-based avatar-creating solutions, directly generating anchor-style videos with full-body motions remains challenging. In this study, w…

cs.CV2024★ 2 cited

CreativeSynth: Cross-Art-Attention for Artistic Image Synthesis with Multimodal Diffusion

Nisha Huang, Weiming Dong, Yuxin Zhang +6

Although remarkable progress has been made in image style transfer, style is just one of the components of artistic paintings. Directly transferring extracted style features to nat…