2 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
Level-of-Token Diffusion
Kiyohiro Nakayama, Brian Chao, Jan Ackermann +5
Image and video diffusion models allocate equal computation to every region, even when the intended scene calls for varying levels of detail. The spatial distribution of detail can…
Policy-based Foveated Imaging and Perception
Howard Xiao, Jan Ackermann, Boyang Deng +1
Ultra-high-resolution image sensors offer the potential to capture fine spatial details critical for many visual perception tasks, but acquiring and processing all pixels at full r…
Asymmetric Flow Models
Hansheng Chen, Jan Ackermann, Minseo Kim +2
Flow-based generation in high-dimensional spaces is difficult because velocity prediction requires modeling high-dimensional noise, even when data has strong low-rank structure. We…
GeoFlow: Enforcing Implicit Geometric Consistency in Video Generation
Jan Ackermann, Shengqu Cai, Boyang Deng +3
Generating geometrically consistent videos remains an open challenge: text-to-video diffusion models trained on web-scale data treat geometry only implicitly, leading to object def…
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…