GOEnFusion: gradient origin encodings for 3D forward diffusion models

GOEnFusion: gradient origin encodings for 3D forward diffusion models

The recently introduced Forward-Diffusion method allows to train a 3D diffusion model using only 2D images for supervision. However, it does not easily generalise to different 3D representations and requires a computationally expensive auto-regressive sampling process to generate the underlying 3D s...

Полное описание

Библиографические подробности
Главные авторы:	Karnewar, A, Vedaldi, A, Mitra, NJ, Novotny, D
Формат:	Internet publication
Язык:	English
Опубликовано:	2023

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