collaborators

9 papers

cs.CV2026

PortraitAes: Intent-Conditioned Structured Portrait Aesthetic Assessment

Junzhou Xie, Haozhong Xiong, Xunyun Tian +8

Portrait aesthetic assessment assigns comparable scores according to how effectively human-centered images fulfill their photographic intent. These scores support data filtering, c…

cs.MM2026

The Missing Temporal Link: Temporal Context Routing for Script-Driven Audio-Video Generation

Yichen Liu, Quanwei Zhang, Haozhe Wang +8

Joint audio-video generation models have made substantial progress in visual quality and audio-visual synchronization. However, they still provide limited control over when shot tr…

cs.CV2026

EDITBRIDGE: Towards Faithful and Efficient Ultra-High-Resolution Image Editing

Jiayi Song, Shijie Huang, Fangtai Wu +5

High-resolution image editing is increasingly demanded in professional workflows, yet existing diffusion-based models remain constrained to resolutions below 1K due to quadratic at…

cs.CV2026

What to Edit Next: Visually Aligned Image-Editing Follow-Up Suggestions in Conversational Systems

Zhijing Zhang, Jinpeng Yu, Xin Song +6

Conversational assistants increasingly recommend follow-up edits to help users continue a task. Existing systems primarily target text-only interactions, leaving image-creation con…

cs.CV2026

UniSwap: Streaming Audio-Visual Identity Swapping for Talking Videos

Yuxuan Zhang, Haozhong Xiong, Jiayi Song +5

Talking-video character replacement requires coordinated transfer of appearance and voice while preserving the source motion, scene, linguistic content, and audio-video timing. Exi…

cs.CV2026

LiveAnimate: Stable Long-Form Streaming Human Animation in Real-Time

Yuxuan Zhang, Haozhong Xiong, Yubo Huang +6

Pose-driven human animation synthesizes a video of a target person from a single reference image and a driving pose stream. Real-time generation is essential for interactive applic…

cs.CV2026

Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation

Bingnan Li, Haozhe Wang, Haozhong Xiong +5

On-policy distillation (OPD) adapts diffusion models by querying a teacher along trajectories generated by the current student, but how it should behave under classifier-free guida…

cs.CV2026

Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation

Haozhe Wang, Weijia Feng, Jinpeng Yu +8

Visual generators excel at rendering, but they confidently fabricate what they do not know. User requests are unbounded, evolving, and deeply long-tailed: new characters, trending…

cs.CV2026

CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation

Fangtai Wu, Hailong Guo, Shijie Huang +7

Customized image editing aims to equip pre-trained diffusion models with specific visual effects using limited paired data, typically via Low-Rank Adaptation (LoRA). As the number…