collaborators

9 papers

cs.CL2026

Chinese-Jev: Bringing System One Model to Chinese-Language Tasks

Zexiao Wang, Zihao Zhang, Xudong Wang +5

System One models such as Jev offer an efficient alternative to generative language models for tasks that require decisions rather than open-ended responses. However, existing Jev…

cs.MM2026

SPEED: One-Step Pixel Diffusion for High-quality Video Frame Interpolation

Zihao Zhang, Haoyu Zhao, Siqian Yang +3

Despite the success of diffusion models in Video Frame Interpolation (VFI), existing methods still suffer from two critical limitations. First, latent diffusion inevitably loses fi…

cs.CV2026

VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding

Zhihao He, Tieyuan Chen, Kangyu Wang +6

Current Video Large Language Models (Video LLMs) typically encode frames via a vision encoder and employ an autoregressive (AR) LLM for understanding and generation. However, this…

cs.AI2025

PreferThinker: Reasoning-based Personalized Image Preference Assessment

Shengqi Xu, Xinpeng Zhou, Yabo Zhang +6

Personalized image preference assessment aims to evaluate an individual user's image preferences by relying only on a small set of reference images as prior information. Existing m…

cs.CV2025

Repeating Words for Video-Language Retrieval with Coarse-to-Fine Objectives

Haoyu Zhao, Jiaxi Gu, Shicong Wang +4

The explosive growth of video streaming presents challenges in achieving high accuracy and low training costs for video-language retrieval. However, existing methods rely on large-…

cs.CV2025

A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models

Quan-Sheng Zeng, Yunheng Li, Qilong Wang +4

Visual token compression is critical for Large Vision-Language Models (LVLMs) to efficiently process high-resolution inputs. Existing methods that typically adopt fixed compression…

cs.CV2025

Aligning Anime Video Generation with Human Feedback

Bingwen Zhu, Yudong Jiang, Baohan Xu +5

Anime video generation faces significant challenges due to the scarcity of anime data and unusual motion patterns, leading to issues such as motion distortion and flickering artifa…

cs.CV2025

DynamiCtrl: Rethinking the Basic Structure and the Role of Text for High-quality Human Image Animation

Haoyu Zhao, Zhongang Qi, Cong Wang +5

With diffusion transformer (DiT) excelling in video generation, its use in specific tasks has drawn increasing attention. However, adapting DiT for pose-guided human image animatio…

cs.CV2025

EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation

Zihao Zhang, Haoran Chen, Haoyu Zhao +4

Handling complex or nonlinear motion patterns has long posed challenges for video frame interpolation. Although recent advances in diffusion-based methods offer improvements over t…