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Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be
  Consistent

Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent

17 February 2023
Giannis Daras
Y. Dagan
A. Dimakis
C. Daskalakis
    DiffM
ArXivPDFHTML

Papers citing "Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent"

20 / 20 papers shown
Title
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees
Nishant Jain
Xunpeng Huang
Yian Ma
Tong Zhang
46
0
0
02 May 2025
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
Sotiris Anagnostidis
Gregor Bachmann
Yeongmin Kim
Jonas Kohler
Markos Georgopoulos
A. Sanakoyeu
Yuming Du
Albert Pumarola
Ali K. Thabet
Edgar Schönfeld
92
0
0
27 Feb 2025
VideoAgent: Self-Improving Video Generation
VideoAgent: Self-Improving Video Generation
Achint Soni
Sreyas Venkataraman
Abhranil Chandra
Sebastian Fischmeister
Percy Liang
Bo Dai
Sherry Yang
LM&Ro
VGen
58
7
0
14 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations
Distillation of Discrete Diffusion through Dimensional Correlations
Satoshi Hayakawa
Yuhta Takida
Masaaki Imaizumi
Hiromi Wakaki
Yuki Mitsufuji
DiffM
61
0
0
11 Oct 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models
Neural Approximate Mirror Maps for Constrained Diffusion Models
Berthy T. Feng
Ricardo Baptista
Katherine L. Bouman
MedIm
DiffM
48
3
0
18 Jun 2024
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
Asad Aali
Giannis Daras
Brett Levac
Sidharth Kumar
Alexandros G. Dimakis
Jonathan I. Tamir
MedIm
64
9
0
13 Mar 2024
Diffusion for Natural Image Matting
Diffusion for Natural Image Matting
Yihan Hu
Yiheng Lin
Wei Wang
Yao-Min Zhao
Yunchao Wei
Humphrey Shi
28
7
0
10 Dec 2023
Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of
  Latent-Based Diffusion Models
Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models
Poyuan Mao
Shashank Kotyan
Tham Yik Foong
Danilo Vasconcellos Vargas
26
5
0
24 Nov 2023
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step
  Diffusion Models
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
Fei Kong
Jinhao Duan
Lichao Sun
Hao-Ran Cheng
Renjing Xu
Hengtao Shen
Xiao-lan Zhu
Xiaoshuang Shi
Kaidi Xu
38
3
0
23 Nov 2023
Multi-GradSpeech: Towards Diffusion-based Multi-Speaker Text-to-speech
  Using Consistent Diffusion Models
Multi-GradSpeech: Towards Diffusion-based Multi-Speaker Text-to-speech Using Consistent Diffusion Models
Heyang Xue
Shuai Guo
Pengcheng Zhu
Mengxiao Bi
DiffM
35
1
0
21 Aug 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Giannis Daras
Kulin Shah
Y. Dagan
Aravind Gollakota
A. Dimakis
Adam R. Klivans
DiffM
42
65
0
30 May 2023
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency
  Model
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model
Zhe Ye
Wei Xue
Xuejiao Tan
Jie Chen
Qi-fei Liu
Yi-Ting Guo
DiffM
30
40
0
11 May 2023
DDP: Diffusion Model for Dense Visual Prediction
DDP: Diffusion Model for Dense Visual Prediction
Yuanfeng Ji
Zhe Chen
Enze Xie
Lanqing Hong
Xihui Liu
Zhaoqiang Liu
Tong Lu
Zhenguo Li
Ping Luo
DiffM
VLM
47
130
0
30 Mar 2023
Refining Generative Process with Discriminator Guidance in Score-based
  Diffusion Models
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
Dongjun Kim
Yeongmin Kim
Se Jung Kwon
Wanmo Kang
Il-Chul Moon
DiffM
33
85
0
28 Nov 2022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso
Hannes Stärk
Bowen Jing
Regina Barzilay
Tommi Jaakkola
DiffM
139
410
0
04 Oct 2022
Sampling is as easy as learning the score: theory for diffusion models
  with minimal data assumptions
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen
Sinho Chewi
Jungshian Li
Yuanzhi Li
Adil Salim
Anru R. Zhang
DiffM
135
247
0
22 Sep 2022
Soft Diffusion: Score Matching for General Corruptions
Soft Diffusion: Score Matching for General Corruptions
Giannis Daras
M. Delbracio
Hossein Talebi
A. Dimakis
P. Milanfar
DiffM
64
106
0
12 Sep 2022
CogVideo: Large-scale Pretraining for Text-to-Video Generation via
  Transformers
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Wenyi Hong
Ming Ding
Wendi Zheng
Xinghan Liu
Jie Tang
DiffM
254
566
0
29 May 2022
Protein Structure and Sequence Generation with Equivariant Denoising
  Diffusion Probabilistic Models
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
N. Anand
Tudor Achim
DiffM
187
173
0
26 May 2022
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
194
540
0
08 Mar 2020
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