activity
20242026
collaborators

7 papers

cs.CV2026

Meta-CoT: Enhancing Granularity and Generalization in Image Editing

Shiyi Zhang, Yiji Cheng, Tiankai Hang +8

Unified multi-modal understanding/generative models have shown improved image editing performance by incorporating fine-grained understanding into their Chain-of-Thought (CoT) proc…

cs.CV2026

Generative Visual Chain-of-Thought for Image Editing

Zijin Yin, Tiankai Hang, Yiji Cheng +9

Existing image editing methods struggle to perceive where to edit, especially under complex scenes and nuanced spatial instructions. To address this issue, we propose Generative Vi…

cs.CV2025

Memorize-and-Generate: Towards Long-Term Consistency in Real-Time Video Generation

Tianrui Zhu, Shiyi Zhang, Zhirui Sun +2

Frame-level autoregressive (frame-AR) models have achieved significant progress, enabling real-time video generation comparable to bidirectional diffusion models and serving as a f…

cs.AI2025

Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference

Xiangwei Shen, Zhimin Li, Zhantao Yang +6

Recent studies have demonstrated the effectiveness of directly aligning diffusion models with human preferences using differentiable reward. However, they exhibit two primary chall…

cs.CV2025

KV-Edit: Training-Free Image Editing for Precise Background Preservation

Tianrui Zhu, Shiyi Zhang, Jiawei Shao +1

Background consistency remains a significant challenge in image editing tasks. Despite extensive developments, existing works still face a trade-off between maintaining similarity…

cs.CV2024

Narrative Action Evaluation with Prompt-Guided Multimodal Interaction

Shiyi Zhang, Sule Bai, Guangyi Chen +4

In this paper, we investigate a new problem called narrative action evaluation (NAE). NAE aims to generate professional commentary that evaluates the execution of an action. Unlike…

cs.RO2024

ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation

Guanxing Lu, Shiyi Zhang, Ziwei Wang +3

Performing language-conditioned robotic manipulation tasks in unstructured environments is highly demanded for general intelligent robots. Conventional robotic manipulation methods…