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Physics Informed Distillation for Diffusion Models

Physics Informed Distillation for Diffusion Models

13 November 2024
Joshua Tian Jin Tee
Kang Zhang
Hee Suk Yoon
Dhananjaya N. Gowda
Chanwoo Kim
Chang-Dong Yoo
    DiffM
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Papers citing "Physics Informed Distillation for Diffusion Models"

4 / 4 papers shown
Title
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
195
513
0
06 Dec 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
303
5,773
0
29 Apr 2021
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
184
258
0
07 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
243
3,367
0
09 Mar 2020
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