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Photo-Geometric Autoencoder

Published
Nov 25, 2019

Photo-Geometric Autoencoder is an AI model developed by University of Oxford (United Kingdom), first published in November 2019. It works in the 3d modeling and vision domain, on tasks such as 3d reconstruction.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 819.2M datapoints.

Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 338 citations.

Full record
Organization
University of Oxford
Country of organization
United Kingdom
Domain
3D modeling, Vision
Task
3D reconstruction
Dataset size
819.2M
Model accessibility
Open weights (unrestricted)
Open weights
Yes
Citations
338
More from University of Oxford
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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