8000 Commits · deu439/ARFlow · GitHub

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Commits

Commits on May 14, 2025

Isotropic/anisotropic smoothness switch.
deu439
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Commits on May 5, 2025

Commits on Mar 19, 2025

Second order smoothness loss. See uflow_elbo_loss.py.
deu439
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Commits on Feb 5, 2025

Calibration Curve Plot
g-pichler
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Commits on Jan 29, 2025

Commits on Jan 27, 2025

- Sintel dataset
deu439
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Commits on Nov 19, 2024

- Clean up augmentations. Now there are only two types: geometric (random cropping, rorizontal flipping) and photometric (adjusting brightness, saturation, hue, gamma, swapping color channels).
deu439
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Support for Chairs / Chairs2 datasets. The validation split used in Chairs is now identical to original uflow code.
deu439
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Normalize resampling over the whole project. In torch.nn.functional.grid_sample we use align_corners=True, in torch.nn.functional.interpolate we use align_corners=False. This is consistent with the…
deu439
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Commits on Nov 8, 2024

Detailed configuration of optimizer. Match TensorFlow 2.2 compat.v1 Adam optimizer.
deu439
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Commits on Oct 9, 2024

Slightly different implementation of closed form smoothness loss.
deu439
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Commits on Oct 2, 2024

Commits on Aug 7, 2024

Commits on Jul 31, 2024

Low-rank approximation.
deu439
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Commits on Jul 17, 2024

Low-rank covariance matrix approximation.
deu439
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Commits on Jul 10, 2024

Generalization of the covariance/precision matrix structure.
deu439
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Commits on May 29, 2024

Shared of network, per component covariance.
deu439
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Commits on May 13, 2024

Fix entropy calculation. Per-component independent networks. Mixture weight network.
deu439
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