36 citations · 50 across the 6 of their papers we have counts for
6 papers
VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization
Junhao Cheng, Liang Hou, Tianxiong Zhong +4
The recent "Reasoning with Video" paradigm utilizes Video Generation Models (VGMs) to generate temporally coherent visual trajectories to complete reasoning tasks. Although state-o…
EffectMaker: Unifying Reasoning and Generation for Customized Visual Effect Creation
Shiyuan Yang, Ruihuang Li, Jiale Tao +3
Visual effects (VFX) are essential for enhancing the expressiveness and creativity of video content, yet producing high-quality effects typically requires expert knowledge and cost…
MTV-Inpaint: Multi-Task Long Video Inpainting
Shiyuan Yang, Zheng Gu, Liang Hou +4
Video inpainting involves modifying local regions within a video, ensuring spatial and temporal consistency. Most existing methods focus primarily on scene completion (i.e., fillin…
LVCD: Reference-based Lineart Video Colorization with Diffusion Models
Zhitong Huang, Mohan Zhang, Jing Liao
We propose the first video diffusion framework for reference-based lineart video colorization. Unlike previous works that rely solely on image generative models to colorize lineart…
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model
Zheng Gu, Shiyuan Yang, Jing Liao +2
Visual In-Context Learning (ICL) has emerged as a promising research area due to its capability to accomplish various tasks with limited example pairs through analogical reasoning.…
Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion
Shiyuan Yang, Liang Hou, Haibin Huang +5
Recent text-to-video diffusion models have achieved impressive progress. In practice, users often desire the ability to control object motion and camera movement independently for…