activity
20232025
most citedAnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data

4 citations · 8 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CV2025

RelightMaster: Precise Video Relighting with Multi-plane Light Images

Weikang Bian, Xiaoyu Shi, Zhaoyang Huang +6

Recent advances in diffusion models enable high-quality video generation and editing, but precise relighting with consistent video contents, which is critical for shaping scene atm…

cs.CV2025

CoProSketch: Controllable and Progressive Sketch Generation with Diffusion Model

Ruohao Zhan, Yijin Li, Yisheng He +6

Sketches serve as fundamental blueprints in artistic creation because sketch editing is easier and more intuitive than pixel-level RGB image editing for painting artists, yet sketc…

cs.CV2025

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Weikang Bian, Zhaoyang Huang, Xiaoyu Shi +3

4D video control is essential in video generation as it enables the use of sophisticated lens techniques, such as multi-camera shooting and dolly zoom, which are currently unsuppor…

cs.CV2024

A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding

Yitong Dong, Yijin Li, Zhaoyang Huang +6

In this paper, we propose a novel multi-view stereo (MVS) framework that gets rid of the depth range prior. Unlike recent prior-free MVS methods that work in a pair-wise manner, ou…

cs.CV2024

Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Fu-Yun Wang, Ling Yang, Zhaoyang Huang +2

Diffusion models have greatly improved visual generation but are hindered by slow generation speed due to the computationally intensive nature of solving generative ODEs. Rectified…

cs.CV2024

ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses

Junjie Ni, Guofeng Zhang, Guanglin Li +4

We tackle the efficiency problem of learning local feature matching. Recent advancements have given rise to purely CNN-based and transformer-based approaches, each augmented with d…