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Unleashing Transformers: Parallel Token Prediction with Discrete
  Absorbing Diffusion for Fast High-Resolution Image Generation from
  Vector-Quantized Codes

Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes

24 November 2021
Sam Bond-Taylor
P. Hessey
Hiroshi Sasaki
T. Breckon
Chris G. Willcocks
    DiffM
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Papers citing "Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes"

20 / 20 papers shown
Title
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
98
1
0
10 Mar 2025
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
Xiaoxiao He
Ligong Han
Quan Dao
Song Wen
Minhao Bai
...
Hongdong Li
Junzhou Huang
Faez Ahmed
Akash Srivastava
Dimitris Metaxas
DiffM
SyDa
38
4
0
10 Oct 2024
RIGID: A Training-free and Model-Agnostic Framework for Robust
  AI-Generated Image Detection
RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection
Zhiyuan He
Pin-Yu Chen
Tsung-Yi Ho
31
12
0
30 May 2024
Quantized Embedding Vectors for Controllable Diffusion Language Models
Quantized Embedding Vectors for Controllable Diffusion Language Models
Cheng Kang
Xinye Chen
Yong Hu
Daniel Novak
18
0
0
15 Feb 2024
Iterative Token Evaluation and Refinement for Real-World
  Super-Resolution
Iterative Token Evaluation and Refinement for Real-World Super-Resolution
Chaofeng Chen
Shangchen Zhou
Liang Liao
Haoning Wu
Wenxiu Sun
Qiong Yan
Weisi Lin
13
6
0
09 Dec 2023
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity
  Metrics For Science And Machine Learning
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
Amey P. Pasarkar
Adji Bousso Dieng
25
10
0
19 Oct 2023
$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified
  States
∞\infty∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
Sam Bond-Taylor
Chris G. Willcocks
32
15
0
31 Mar 2023
A Reparameterized Discrete Diffusion Model for Text Generation
A Reparameterized Discrete Diffusion Model for Text Generation
Lin Zheng
Jianbo Yuan
Lei Yu
Lingpeng Kong
DiffM
23
57
0
11 Feb 2023
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
60
61
0
09 Feb 2023
GLeaD: Improving GANs with A Generator-Leading Task
GLeaD: Improving GANs with A Generator-Leading Task
Qingyan Bai
Ceyuan Yang
Yinghao Xu
Xihui Liu
Yujiu Yang
Yujun Shen
GAN
13
9
0
07 Dec 2022
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
Haitao Lin
Yufei Huang
Odin Zhang
Siqi Ma
Meng Liu
X. Li
Lirong Wu
Shuiwang Ji
Tingjun Hou
Stan Z. Li
DiffM
16
60
0
21 Nov 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces
Diffusion Models for Graphs Benefit From Discrete State Spaces
K. Haefeli
Karolis Martinkus
Nathanael Perraudin
Roger Wattenhofer
DiffM
83
51
0
04 Oct 2022
Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
Zhaoxi Chen
Guangcong Wang
Ziwei Liu
88
30
0
20 Sep 2022
Blended Latent Diffusion
Blended Latent Diffusion
Omri Avrahami
Ohad Fried
Dani Lischinski
DiffM
50
374
0
06 Jun 2022
Text2Human: Text-Driven Controllable Human Image Generation
Text2Human: Text-Driven Controllable Human Image Generation
Yuming Jiang
Shuai Yang
Haonan Qiu
Wayne Wu
Chen Change Loy
Ziwei Liu
DiffM
107
45
0
31 May 2022
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
253
4,764
0
24 Feb 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot
  Image Synthesis
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Bingchen Liu
Yizhe Zhu
Kunpeng Song
Ahmed Elgammal
165
233
0
12 Jan 2021
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
238
578
0
12 Mar 2020
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
10,320
0
12 Dec 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,543
0
25 Jan 2016
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