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Zihan Su

7 accepted papers

2026

Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation

ICML 2026poster

Unified Multimodal Models (UMMs) integrate both visual understanding and generation within a single framework. Their ultimate aspiration is to create a cycle where understanding and generation mutually reinforce each other. While recent post-training methods have successfully leveraged understanding…

Cited by 0SourceScholar
2026

Harmony: Harmonizing Audio and Video Generation through Cross-Task Synergy

CVPR 2026

The synthesis of synchronized audio-visual content is a key challenge in generative AI, with open-source models facing challenges in robust audio-video alignment. Our analysis reveals that this issue is rooted in three fundamental challenges of the joint diffusion process: (1) Correspondence Drift,

Cited by 0SourcecodeScholar
2026

PoseAnything: General Pose-guided Video Generation with Part-aware Temporal Coherence

CVPR 2026

Pose-guided video generation refers to controlling the motion of subjects in generated video through a sequence of poses. It enables precise control over subject motion and has important applications in animation. However, current pose-guided video generation methods are limited to accepting only hu

Cited by 0SourceScholar
2025

Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking

NeurIPS 2025poster

The explosive growth of generative video models has amplified the demand for reliable copyright preservation of AI-generated content. Despite its popularity in image synthesis, invisible generative watermarking remains largely underexplored in video generation. To address this gap, we propose Safe-S…

Cited by 0SourceScholar
2025

TextureDiffusion: Target Prompt Disentangled Editing for Various Texture Transfer

ICASSP 2025accepted

Recently, text-guided image editing has achieved significant success. However, existing methods can only apply simple textures like wood or gold when changing the texture of an object. Complex textures such as cloud or fire pose a challenge. This limitation stems from that the target prompt needs to…

Cited by 0SourceScholar