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. 2407.03300
  4. Cited By
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents

DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents

3 July 2024
Yilun Xu
Gabriele Corso
Tommi Jaakkola
Arash Vahdat
Karsten Kreis
ArXivPDFHTML

Papers citing "DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents"

18 / 18 papers shown
Title
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
X. Zhang
Jintao Guo
Shanshan Zhao
Minghao Fu
Lunhao Duan
Guo-Hua Wang
Qing-Guo Chen
Zhao Xu
Weihua Luo
Kaifu Zhang
DiffM
74
0
0
05 May 2025
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality
Pramook Khungurn
Sukit Seripanitkarn
Phonphrm Thawatdamrongkit
Supasorn Suwajanakorn
DiffM
70
0
0
30 Apr 2025
Enhancing Creative Generation on Stable Diffusion-based Models
Enhancing Creative Generation on Stable Diffusion-based Models
Jiyeon Han
Dahee Kwon
Gayoung Lee
Junho Kim
Jaesik Choi
DiffM
44
1
0
30 Mar 2025
D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens
D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens
Panpan Wang
Liqiang Niu
Fandong Meng
Jinan Xu
Yufeng Chen
Jie Zhou
DiffM
50
0
0
21 Mar 2025
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization
Kyle Sargent
Kyle Hsu
Justin Johnson
L. Fei-Fei
Jiajun Wu
DiffM
MU
53
3
0
14 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Kaiwen Zheng
Yongxin Chen
Huayu Chen
Guande He
Ming-Yu Liu
J. Zhu
Qinsheng Zhang
DiffM
49
0
0
03 Mar 2025
Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis
Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis
Anton Voronov
Denis Kuznedelev
Mikhail Khoroshikh
Valentin Khrulkov
Dmitry Baranchuk
108
2
0
02 Dec 2024
Autoregressive Models in Vision: A Survey
Autoregressive Models in Vision: A Survey
Jing Xiong
Gongye Liu
Lun Huang
Chengyue Wu
Taiqiang Wu
...
M. Zhang
Guillermo Sapiro
Jiebo Luo
Ping Luo
Ngai Wong
VGen
48
9
0
08 Nov 2024
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Emiel Hoogeboom
Thomas Mensink
Jonathan Heek
Kay Lamerigts
Ruiqi Gao
Tim Salimans
113
6
0
25 Oct 2024
Muse: Text-To-Image Generation via Masked Generative Transformers
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang
Han Zhang
Jarred Barber
AJ Maschinot
José Lezama
...
Kevin Patrick Murphy
William T. Freeman
Michael Rubinstein
Yuanzhen Li
Dilip Krishnan
DiffM
197
519
0
02 Jan 2023
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
409
0
04 Oct 2022
Poisson Flow Generative Models
Poisson Flow Generative Models
Yilun Xu
Ziming Liu
M. Tegmark
Tommi Jaakkola
95
80
0
22 Sep 2022
A Continuous Time Framework for Discrete Denoising Models
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
185
134
0
30 May 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
489
0
01 Feb 2022
Instance-Conditioned GAN
Instance-Conditioned GAN
Arantxa Casanova
Marlene Careil
Jakob Verbeek
M. Drozdzal
Adriana Romero Soriano
GAN
204
132
0
10 Sep 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
314
5,775
0
29 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,777
0
24 Feb 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
279
10,348
0
12 Dec 2018
1