works on

From the 1 of 5 linked papers with an AI index.

collaborators

5 papers

cs.CV2026

Motion4Motion: Motion Transfer Across Subjects at Inference

Ling-Hao Chen, Zixin Yin, Duomin Wang +2

The paper introduces Motion4Motion, a training‑free framework that transfers motion between videos by modeling motion flow instead of relying on predefined skeletons, enabling tran…

cs.CV2026

LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence

Zixin Yin, Xili Dai, Duomin Wang +4

The reliance on implicit point matching via attention has become a core bottleneck in drag-based editing, resulting in a fundamental compromise on weakened inversion strength and c…

cs.GR2026

Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer

Zixin Yin, Xili Dai, Ling-Hao Chen +7

Text-guided color editing in images and videos is a fundamental yet unsolved problem, requiring fine-grained manipulation of color attributes, including albedo, light source color,…

cs.CV2025

UniVerse-1: Unified Audio-Video Generation via Stitching of Experts

Duomin Wang, Wei Zuo, Aojie Li +7

We introduce UniVerse-1, a unified, Veo-3-like model capable of simultaneously generating coordinated audio and video. To enhance training efficiency, we bypass training from scrat…

cs.CV2025

SpeakerVid-5M: A Large-Scale High-Quality Dataset for Audio-Visual Dyadic Interactive Human Generation

Youliang Zhang, Zhaoyang Li, Duomin Wang +6

The rapid development of large-scale models has catalyzed significant breakthroughs in the digital human domain. These advanced methodologies offer high-fidelity solutions for avat…