Orthogonality and graph divergence losses promote disentanglement in generative models

Overview of attention for article published in Frontiers in Computer Science, May 2024

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New Research: Orthogonality and graph divergence losses promote disentanglement in generative models https://t.co/vTlIsIg1hs #computerscience

RT @pturaga1: Controllable disentanglement feasible by adding geometry-based loss functions in latents and outputs. Below we disentangle by…

Controllable disentanglement feasible by adding geometry-based loss functions in latents and outputs. Below we disentangle by size, color, and shape. Exciting! https://t.co/qgk1zlnEBP @Ankita1Shukla @visarASU @GautamDasarathy @Rajhans_0 @pouria018 Rishi

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