Created
December 23, 2019 20:48
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Applications oriented | Code/ Open source | |
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Explicit Disentanglement of Appearance and Perspective in Generative Models | https://github.com/SkafteNicki/unsuper/ | |
Disentangled behavioural representations | N/A - Video: https://vimeo.com/368702071 | |
Multi-mapping Image-to-Image Translation via Learning Disentanglement | https://github.com/Xiaoming-Yu/DMIT . | |
Flow-based Image-to-Image Translation with Feature Disentanglement | N/A | |
Disentangling Influence: Using disentangled representations to audit model predictions | https://github.com/charliemarx/disentangling-influence | |
Learning Disentangled Representation for Robust Person Re-identification | https://cvlab-yonsei.github.io/projects/ISGAN/ | |
Learning Disentangled Representations for Recommendation | https://jianxinma.github.io/disentangle-recsys.html | |
Explicitly disentangling image content from translation and rotation with spatial-VAE | https://github.com/tbepler/spatial-VAE | |
Analysis / Critique oriented | Disentanglement context | |
1: Symmetry-Based Disentangled Representation Learning requires Interaction with Environments | https://github.com/Caselles/NeurIPS19-SBDRL | |
2: On the Fairness of Disentangled Representations | N/A | |
3: On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset | https://github.com/rr-learning/disentanglement_dataset | |
4: Are Disentangled Representations Helpful for Abstract Visual Reasoning? | https://git.io/JelEv |
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