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Jason J. Yu

2 accepted papers

2023

Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models

ICCV 2023poster

Novel view synthesis from a single input image is a challenging task, where the goal is to generate a new view of a scene from a desired camera pose that may be separated by a large motion. The highly uncertain nature of this synthesis task due to unobserved elements within the scene (i.e. occlusion…

Cited by 39PDFcodeScholar
2020

Wavelet Flow: Fast Training of High Resolution Normalizing Flows

NeurIPS 2020poster

Normalizing flows are a class of probabilistic generative models which allow for both fast density computation and efficient sampling and are effective at modelling complex distributions like images. A drawback among current methods is their significant training cost, sometimes requiring months of G…