3 accepted papers
Discrete flow models offer a powerful framework for learning distributions over discrete state spaces and have demonstrated superior performance compared to the discrete diffusion models. However, their convergence properties and error analysis remain largely unexplored. In this work, we develop a u…
Recently, non-fixed camera-based free viewpoint sports video synthesis has become very popular. Camera calibration is an indispensable step in free viewpoint video synthesis, and the calibration has to be done frame by frame for a non-fixed camera. Thus, calibration speed is of great significance in…
In this paper, we propose a joint and unified framework to compressively capture a light field in the consideration of both directional and positional multiplexing based on Kronecker compressed sensing (KCS). First of all, both of the 2D angular and 2D spatial correlations of the light field can be…