3 citations · 5 across the 6 of their papers we have counts for
7 papers
A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
Zhaoqiang Liu, Tongyao Pang, Ruibing Wang +1
Pretrained diffusion models represent image distributions through a continuum of progressively smoothed distributions. This multiscale structure organizes generation from global st…
Image2Garment: Simulation-ready Garment Generation from a Single Image
Selim Emir Can, Jan Ackermann, Kiyohiro Nakayama +7
Estimating physically accurate, simulation-ready garments from a single image is challenging due to the absence of image-to-physics datasets and the ill-posed nature of this proble…
BulletTime: Decoupled Control of Time and Camera Pose for Video Generation
Yiming Wang, Qihang Zhang, Shengqu Cai +7
Emerging video diffusion models achieve high visual fidelity but fundamentally couple scene dynamics with camera motion, limiting their ability to provide precise spatial and tempo…
AllTracker: Efficient Dense Point Tracking at High Resolution
Adam W. Harley, Yang You, Xinglong Sun +11
We introduce AllTracker: a model that estimates long-range point tracks by way of estimating the flow field between a query frame and every other frame of a video. Unlike existing…
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
Yang Zheng, Wen Li, Zhaoqiang Liu
Inverse problems (IPs) involve reconstructing signals from noisy observations. Recently, diffusion models (DMs) have emerged as a powerful framework for solving IPs, achieving rema…
AIpparel: A Multimodal Foundation Model for Digital Garments
Kiyohiro Nakayama, Jan Ackermann, Timur Levent Kesdogan +6
Apparel is essential to human life, offering protection, mirroring cultural identities, and showcasing personal style. Yet, the creation of garments remains a time-consuming proces…
Inferring Hybrid Neural Fluid Fields from Videos
Hong-Xing Yu, Yang Zheng, Yuan Gao +3
We study recovering fluid density and velocity from sparse multiview videos. Existing neural dynamic reconstruction methods predominantly rely on optical flows; therefore, they can…