SOTAVerified

Disentanglement

This is an approach to solve a diverse set of tasks in a data efficient manner by disentangling (or isolating ) the underlying structure of the main problem into disjoint parts of its representations. This disentanglement can be done by focussing on the "transformation" properties of the world(main problem)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1781–1790 of 1854 papers

TitleStatusHype
Data standardization for robust lip sync—0
SPEAK: Speech-Driven Pose and Emotion-Adjustable Talking Head Generation—0
LLM-driven Multimodal and Multi-Identity Listening Head Generation—0
LM-VC: Zero-shot Voice Conversion via Speech Generation based on Language Models—0
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction—0
LSCodec: Low-Bitrate and Speaker-Decoupled Discrete Speech Codec—0
Longitudinal Self-Supervised Learning—0
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder—0
Make a Face: Towards Arbitrary High Fidelity Face Manipulation—0
MakeupBag: Disentangling Makeup Extraction and Application—0
Show:102550
← PrevPage 179 of 186Next →

No leaderboard results yet.