A Comprehensive Survey on Knowledge Distillation of Diffusion Models

9 April 2023

Papers citing "A Comprehensive Survey on Knowledge Distillation of Diffusion Models"

9 / 9 papers shown

Title
A Survey on Diffusion Models for Anomaly Detection J. Liu Zhenchao Ma Zepu Wang Y. Liu Zehua Wang Peng Sun Liang Song Bo Hu Azzedine Boukerche Victor C.M. Leung DiffM MedIm 37 2 0 20 Jan 2025
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation Zilyu Ye Zhiyang Chen Tiancheng Li Zemin Huang Weijian Luo Guo-jun Qi DiffM 72 4 0 02 Dec 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux Çağlar Gülçehre 39 2 0 28 Oct 2024
Subtractive Training for Music Stem Insertion using Latent Diffusion Models Ivan Villa-Renteria Mason L. Wang Zachary Shah Zhe Li Soohyun Kim Neelesh Ramachandran Mert Pilanci 34 0 0 27 Jun 2024
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
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 259 0 07 Jan 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,263 0 09 Jun 2012