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

4 citations · 6 across the 10 of their papers we have counts for

collaborators

10 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

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

BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events

Yijin Li, Yichen Shen, Zhaoyang Huang +9

Recent advances in event-based vision suggest that these systems complement traditional cameras by providing continuous observation without frame rate limitations and a high dynami…

cs.LG2024

Stable Consistency Tuning: Understanding and Improving Consistency Models

Fu-Yun Wang, Zhengyang Geng, Hongsheng Li

Diffusion models achieve superior generation quality but suffer from slow generation speed due to the iterative nature of denoising. In contrast, consistency models, a new generati…

cs.LG2024★ 1 cited

Phased Consistency Models

Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman +9

Consistency Models (CMs) have made significant progress in accelerating the generation of diffusion models. However, their application to high-resolution, text-conditioned image ge…

cs.CV2024

Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation

Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang +5

Video outpainting is a challenging task, aiming at generating video content outside the viewport of the input video while maintaining inter-frame and intra-frame consistency. Exist…

cs.CV2024★ 4 cited

AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data

Fu-Yun Wang, Zhaoyang Huang, Weikang Bian +5

This paper introduces an effective method for computation-efficient personalized style video generation without requiring access to any personalized video data. It reduces the nece…

cs.CV2024★ 1 cited

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang +9

We introduce Motion-I2V, a novel framework for consistent and controllable image-to-video generation (I2V). In contrast to previous methods that directly learn the complicated imag…