Manuel Kansy

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upvoted a paper 3 days ago

Efficient Distillation of Classifier-Free Guidance using Adapters

Paper • 2503.07274 • Published 4 days ago • 4

upvoted a paper 5 months ago

Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models

Paper • 2410.02416 • Published Oct 3, 2024 • 27

authored a paper 7 months ago

Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion

Paper • 2408.00458 • Published Aug 1, 2024 • 12

commented a paper 7 months ago

Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion

Paper • 2408.00458 • Published Aug 1, 2024 • 12 •

2

upvoted a paper 8 months ago

BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

Paper • 2407.17952 • Published Jul 25, 2024 • 31

authored a paper 8 months ago

No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Paper • 2407.02687 • Published Jul 2, 2024 • 24

upvoted 3 papers 8 months ago

LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models

Paper • 2405.14477 • Published May 23, 2024 • 19

CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Paper • 2310.17347 • Published Oct 26, 2023 • 1

No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models

Paper • 2407.02687 • Published Jul 2, 2024 • 24