Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rakitin, Denis"'
Diffusion distillation methods aim to compress the diffusion models into efficient one-step generators while trying to preserve quality. Among them, Distribution Matching Distillation (DMD) offers a suitable framework for training general-form one-st
Externí odkaz:
http://arxiv.org/abs/2406.14762
In view synthesis, a neural radiance field approximates underlying density and radiance fields based on a sparse set of scene pictures. To generate a pixel of a novel view, it marches a ray through the pixel and computes a weighted sum of radiance em
Externí odkaz:
http://arxiv.org/abs/2302.10970
Structured latent variables allow incorporating meaningful prior knowledge into deep learning models. However, learning with such variables remains challenging because of their discrete nature. Nowadays, the standard learning approach is to define a
Externí odkaz:
http://arxiv.org/abs/2110.15072