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Mirror Diffusion Models for Constrained and Watermarked Generation
v1v2 (latest)

Mirror Diffusion Models for Constrained and Watermarked Generation

2 October 2023
Guan-Horng Liu
T. Chen
Evangelos A. Theodorou
Molei Tao
    DiffM
ArXiv (abs)PDFHTMLGithub (30★)

Papers citing "Mirror Diffusion Models for Constrained and Watermarked Generation"

27 / 27 papers shown
Title
Simplified and Generalized Masked Diffusion for Discrete Data
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi
Kehang Han
Zehao Wang
Arnaud Doucet
Michalis K. Titsias
DiffM
170
105
0
17 Jan 2025
Neural Approximate Mirror Maps for Constrained Diffusion Models
Neural Approximate Mirror Maps for Constrained Diffusion Models
Berthy Feng
Ricardo Baptista
Katherine Bouman
MedImDiffM
104
4
0
18 Jun 2024
Categorical SDEs with Simplex Diffusion
Categorical SDEs with Simplex Diffusion
Pierre Harvey Richemond
Sander Dieleman
Arnaud Doucet
DiffM
43
26
0
26 Oct 2022
First Hitting Diffusion Models for Generating Manifold, Graph and
  Categorical Data
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data
Mao Ye
Lemeng Wu
Qiang Liu
DiffM
74
19
0
02 Sep 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
201
2,018
0
01 Jun 2022
Torsional Diffusion for Molecular Conformer Generation
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing
Gabriele Corso
Jeffrey Chang
Regina Barzilay
Tommi Jaakkola
DiffMBDL
91
272
0
01 Jun 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from
  Low-Dimensional Latents
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey
Avideep Mukherjee
Piyush Rai
Abhishek Kumar
DiffM
72
118
0
02 Jan 2022
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffMVLM
484
1,645
0
10 Nov 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
67
684
0
10 Jun 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
241
7,933
0
11 May 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
352
3,702
0
18 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
160
670
0
22 Jan 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
347
6,551
0
26 Nov 2020
Efficient constrained sampling via the mirror-Langevin algorithm
Efficient constrained sampling via the mirror-Langevin algorithm
Kwangjun Ahn
Sinho Chewi
81
57
0
30 Oct 2020
HiFi-GAN: Generative Adversarial Networks for Efficient and High
  Fidelity Speech Synthesis
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Jungil Kong
Jaehyeon Kim
Jaekyoung Bae
179
1,936
0
12 Oct 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
286
7,454
0
06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffMBDL
155
1,466
0
21 Sep 2020
Riemannian Continuous Normalizing Flows
Riemannian Continuous Normalizing Flows
Emile Mathieu
Maximilian Nickel
AI4CE
96
126
0
18 Jun 2020
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
258
1,161
0
16 Jun 2020
StarGAN v2: Diverse Image Synthesis for Multiple Domains
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Jung-Woo Ha
3DH
127
1,753
0
04 Dec 2019
Sliced Score Matching: A Scalable Approach to Density and Score
  Estimation
Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Yang Song
Sahaj Garg
Jiaxin Shi
Stefano Ermon
115
418
0
17 May 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
593
10,561
0
12 Dec 2018
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
233
3,669
0
22 Mar 2018
Sigmoid-Weighted Linear Units for Neural Network Function Approximation
  in Reinforcement Learning
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
Stefan Elfwing
E. Uchibe
Kenji Doya
133
1,728
0
10 Feb 2017
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
306
7,005
0
12 Mar 2015
Bayesian Optimization with Unknown Constraints
Bayesian Optimization with Unknown Constraints
M. Gelbart
Jasper Snoek
Ryan P. Adams
83
450
0
22 Mar 2014
On Smoothing and Inference for Topic Models
On Smoothing and Inference for Topic Models
A. Asuncion
Max Welling
Padhraic Smyth
Yee Whye Teh
BDL
80
600
0
09 May 2012
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