18 citations · 47 across the 9 of their papers we have counts for
8 papers · 1 filter
GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control
Xuanchi Ren, Tianchang Shen, Jiahui Huang +7
We present GEN3C, a generative video model with precise Camera Control and temporal 3D Consistency. Prior video models already generate realistic videos, but they tend to leverage…
Blind Video Deflickering by Neural Filtering with a Flawed Atlas
Chenyang Lei, Xuanchi Ren, Zhaoxiang Zhang +1
Many videos contain flickering artifacts. Common causes of flicker include video processing algorithms, video generation algorithms, and capturing videos under specific situations.…
Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image
Xuanchi Ren, Xiaolong Wang
Novel view synthesis from a single image has recently attracted a lot of attention, and it has been primarily advanced by 3D deep learning and rendering techniques. However, most w…
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
Xuanchi Ren, Tao Yang, Li Erran Li +2
Motion prediction of vehicles is critical but challenging due to the uncertainties in complex environments and the limited visibility caused by occlusions and limited sensor ranges…
Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
Xuanchi Ren, Tao Yang, Yuwang Wang +1
Content and style (C-S) disentanglement intends to decompose the underlying explanatory factors of objects into two independent subspaces. From the unsupervised disentanglement per…
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
Xuanchi Ren, Tao Yang, Yuwang Wang +1
From the intuitive notion of disentanglement, the image variations corresponding to different factors should be distinct from each other, and the disentangled representation should…
Video Deblurring by Fitting to Test Data
Xuanchi Ren, Zian Qian, Qifeng Chen
Motion blur in videos captured by autonomous vehicles and robots can degrade their perception capability. In this work, we present a novel approach to video deblurring by fitting a…
Music-oriented Dance Video Synthesis with Pose Perceptual Loss
Xuanchi Ren, Haoran Li, Zijian Huang +1
We present a learning-based approach with pose perceptual loss for automatic music video generation. Our method can produce a realistic dance video that conforms to the beats and r…