Debiased Score Distillation Sampling

Debiased Score Distillation Sampling (D-SDS) is a method for improving the realism and alleviating the Janus problem of generated 3D objects.

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The json representation of the dataset with its distributions based on DCAT.
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Susung Hong, Donghoon Ahn, Seungryong Kim (2024). Dataset: Debiased Score Distillation Sampling. https://doi.org/10.57702/5wsiv5bz

DOI retrieved: December 3, 2024

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2303.15413
Author	Susung Hong
More Authors	Donghoon Ahn Seungryong Kim
Homepage	https://susunghong.github.io/Debiased-Score-Distillation-Sampling/