ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.05967
  4. Cited By
Distilling Diffusion Models into Conditional GANs

Distilling Diffusion Models into Conditional GANs

9 May 2024
Minguk Kang
Richard Zhang
Connelly Barnes
Sylvain Paris
Suha Kwak
Jaesik Park
Eli Shechtman
Jun-Yan Zhu
Taesung Park
ArXivPDFHTML

Papers citing "Distilling Diffusion Models into Conditional GANs"

31 / 31 papers shown
Title
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities
Pramook Khungurn
Pratch Piyawongwisal
Sira Sriswadi
Supasorn Suwajanakorn
25
0
0
02 May 2025
Autoregressive Distillation of Diffusion Transformers
Autoregressive Distillation of Diffusion Transformers
Yeongmin Kim
Sotiris Anagnostidis
Yuming Du
Edgar Schönfeld
Jonas Kohler
Markos Georgopoulos
Albert Pumarola
Ali K. Thabet
A. Sanakoyeu
26
0
0
15 Apr 2025
Distilling Multi-view Diffusion Models into 3D Generators
Distilling Multi-view Diffusion Models into 3D Generators
Hao Qin
Luyuan Chen
Ming Kong
Mengxu Lu
Qiang Zhu
3DGS
64
0
0
01 Apr 2025
In the Blink of an Eye: Instant Game Map Editing using a Generative-AI Smart Brush
In the Blink of an Eye: Instant Game Map Editing using a Generative-AI Smart Brush
Vitaly Gnatyuk
Valeriia Koriukina
Ilya Levoshevich
Pavel Nurminskiy
Guenter Wallner
35
0
0
25 Mar 2025
Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities
Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities
Ruchika Chavhan
Abhinav Mehrotra
Malcolm Chadwick
Alberto Gil C. P. Ramos
Luca Morreale
Mehdi Noroozi
Sourav Bhattacharya
44
0
0
14 Mar 2025
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
Yihong Luo
Tianyang Hu
Jiacheng Sun
Yujun Cai
Jing Tang
DiffM
77
1
0
13 Mar 2025
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Junsong Chen
Shuchen Xue
Yuyang Zhao
Jincheng Yu
Sayak Paul
Junyu Chen
Han Cai
E. Xie
Song Han
VLM
64
1
0
12 Mar 2025
Balanced Image Stylization with Style Matching Score
Yuxin Jiang
Liming Jiang
Shuai Yang
Jia-Wei Liu
Ivor Tsang
Mike Zheng Shou
DiffM
39
0
0
10 Mar 2025
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories
Huiyang Shao
Xin Xia
Y. Yang
Yuxi Ren
Xing Wang
Xuefeng Xiao
54
1
0
10 Mar 2025
Improved Training Technique for Latent Consistency Models
Improved Training Technique for Latent Consistency Models
Quan Dao
Khanh Doan
Di Liu
Trung Le
Dimitris N. Metaxas
60
3
0
03 Feb 2025
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
Tianwei Yin
Qiang Zhang
Richard Zhang
William T. Freeman
F. Durand
Eli Shechtman
Xun Huang
VGen
DiffM
79
11
0
10 Dec 2024
SNOOPI: Supercharged One-step Diffusion Distillation with Proper
  Guidance
SNOOPI: Supercharged One-step Diffusion Distillation with Proper Guidance
Viet-Anh Nguyen
A. Nguyen
T. Dao
K. Nguyen
Cuong Pham
Toan M. Tran
Anh Tran
DiffM
65
0
0
03 Dec 2024
Boosting Latent Diffusion with Perceptual Objectives
Boosting Latent Diffusion with Perceptual Objectives
Tariq Berrada
Pietro Astolfi
Jakob Verbeek
Melissa Hall
Marton Havasi
M. Drozdzal
Yohann Benchetrit
Adriana Romero Soriano
Karteek Alahari
38
0
0
06 Nov 2024
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
Zheng Zhan
Yushu Wu
Yifan Gong
Zichong Meng
Zhenglun Kong
Changdi Yang
Geng Yuan
Pu Zhao
Wei Niu
Yanzhi Wang
VGen
31
4
0
02 Nov 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
65
59
0
09 Oct 2024
Presto! Distilling Steps and Layers for Accelerating Music Generation
Presto! Distilling Steps and Layers for Accelerating Music Generation
Zachary Novack
Ge Zhu
Jonah Casebeer
Julian McAuley
Taylor Berg-Kirkpatrick
Nicholas J. Bryan
45
4
0
07 Oct 2024
LVCD: Reference-based Lineart Video Colorization with Diffusion Models
LVCD: Reference-based Lineart Video Colorization with Diffusion Models
Zhitong Huang
Mohan Zhang
Jing Liao
DiffM
VGen
46
10
0
19 Sep 2024
InstantDrag: Improving Interactivity in Drag-based Image Editing
InstantDrag: Improving Interactivity in Drag-based Image Editing
Joonghyuk Shin
Daehyeon Choi
Jaesik Park
DiffM
41
0
0
13 Sep 2024
Diffusion Model for Planning: A Systematic Literature Review
Diffusion Model for Planning: A Systematic Literature Review
Toshihide Ubukata
Jialong Li
Kenji Tei
DiffM
MedIm
41
6
0
16 Aug 2024
ExVideo: Extending Video Diffusion Models via Parameter-Efficient
  Post-Tuning
ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
Zhongjie Duan
Wenmeng Zhou
Cen Chen
Yaliang Li
Weining Qian
VGen
DiffM
30
2
0
20 Jun 2024
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by
  Self-Cooperative Diffusion GANs
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
Yihong Luo
Xiaolong Chen
Xinghua Qu
Jing Tang
40
6
0
19 Mar 2024
One-step Diffusion with Distribution Matching Distillation
One-step Diffusion with Distribution Matching Distillation
Tianwei Yin
Michael Gharbi
Richard Zhang
Eli Shechtman
Frédo Durand
William T. Freeman
Taesung Park
DiffM
124
215
0
30 Nov 2023
Adversarial Diffusion Distillation
Adversarial Diffusion Distillation
Axel Sauer
Dominik Lorenz
A. Blattmann
Robin Rombach
138
326
0
28 Nov 2023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large
  Datasets
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
A. Blattmann
Tim Dockhorn
Sumith Kulal
Daniel Mendelevitch
Maciej Kilian
...
Zion English
Vikram S. Voleti
Adam Letts
Varun Jampani
Robin Rombach
VGen
150
985
0
25 Nov 2023
UFOGen: You Forward Once Large Scale Text-to-Image Generation via
  Diffusion GANs
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
Yanwu Xu
Yang Zhao
Zhisheng Xiao
Tingbo Hou
129
105
0
14 Nov 2023
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Simian Luo
Yiqin Tan
Suraj Patil
Daniel Gu
Patrick von Platen
Apolinário Passos
Longbo Huang
Jian Li
Hang Zhao
MoMe
108
139
0
09 Nov 2023
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
485
0
01 Feb 2022
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
256
0
07 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,191
0
21 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,183
0
30 Oct 2016
1