no code implementations • 20 Dec 2023 • Shichong Peng, Alireza Moazeni, Ke Li
We assess the validity of these models' outputs as solutions to the inverse problems and conduct a thorough analysis of the reliability of the models' estimates of uncertainty over the solution.
1 code implementation • NeurIPS 2023 • Yanshu Zhang, Shichong Peng, Alireza Moazeni, Ke Li
PAPR effectively learns point cloud positions to represent the correct scene geometry, even when the initialization drastically differs from the target geometry.
1 code implementation • 25 Nov 2022 • Shichong Peng, Alireza Moazeni, Ke Li
A persistent challenge in conditional image synthesis has been to generate diverse output images from the same input image despite only one output image being observed per input image.
no code implementations • 29 Sep 2021 • Shichong Peng, Seyed Alireza Moazenipourasil, Ke Li
We consider problems where multiple predictions can be considered correct, but only one of them is given as supervision.
no code implementations • 30 Jun 2021 • Himanshu Arora, Saurabh Mishra, Shichong Peng, Ke Li, Ali Mahdavi-Amiri
Shape completion is the problem of completing partial input shapes such as partial scans.
no code implementations • 16 Jun 2021 • Shichong Peng, Alireza Moazeni, Ke Li
Deep generative models such as GANs have driven impressive advances in conditional image synthesis in recent years.
no code implementations • 26 Nov 2020 • Ke Li, Shichong Peng, Kailas Vodrahalli, Jitendra Malik
In continual learning, new categories may be introduced over time, and an ideal learning system should perform well on both the original categories and the new categories.
no code implementations • 3 Nov 2020 • Shichong Peng, Ke Li
This setting differs from both the regression and class-conditional generative modelling settings: in the former, there is a unique observed output for each input, which is provided as supervision; in the latter, there are many observed outputs for each input, and many are provided as supervision.
2 code implementations • 7 Apr 2020 • Ke Li, Shichong Peng, Tianhao Zhang, Jitendra Malik
Many tasks in computer vision and graphics fall within the framework of conditional image synthesis.
no code implementations • 2 Oct 2018 • Ke Li, Shichong Peng, Jitendra Malik
Single-image super-resolution (SISR) is a canonical problem with diverse applications.