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...
| 主要な著者: | , , , |
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| フォーマット: | Internet publication |
| 言語: | English |
| 出版事項: |
2023
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