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Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial
  Auto-Encoders

Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders

19 February 2022
Huangjie Zheng
Pengcheng He
Weizhu Chen
Mingyuan Zhou
    DiffM
ArXivPDFHTML

Papers citing "Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders"

16 / 16 papers shown
Title
SF-Speech: Straightened Flow for Zero-Shot Voice Clone
SF-Speech: Straightened Flow for Zero-Shot Voice Clone
Xuyuan Li
Zengqiang Shang
Hua Hua
Peiyang Shi
Chen Yang
Li Wang
Pengyuan Zhang
43
2
0
16 Oct 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Yushi Huang
Ruihao Gong
Xianglong Liu
Jing Liu
Yuhang Li
Jiwen Lu
Dacheng Tao
DiffM
MQ
49
0
0
28 Jul 2024
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep
  Learning Verify Real Images?
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images?
Alexander Vilesov
Yuan Tian
Nader Sehatbakhsh
A. Kadambi
24
0
0
04 Jul 2024
SMaRt: Improving GANs with Score Matching Regularity
SMaRt: Improving GANs with Score Matching Regularity
Mengfei Xia
Yujun Shen
Ceyuan Yang
Ran Yi
Wenping Wang
Yong-jin Liu
24
5
0
30 Nov 2023
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion
  Models
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Shiwei Zhang
Jiayu Wang
Yingya Zhang
Kang Zhao
Hangjie Yuan
Z. Qin
Xiang Wang
Deli Zhao
Jingren Zhou
DiffM
VGen
26
198
0
07 Nov 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
PTQD: Accurate Post-Training Quantization for Diffusion Models
Yefei He
Luping Liu
Jing Liu
Weijia Wu
Hong Zhou
Bohan Zhuang
DiffM
MQ
22
100
0
18 May 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao
Siyu Li
Yixin Liu
Zhiling Yan
Yutong Dai
Philip S. Yu
Lichao Sun
24
501
0
07 Mar 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Emanuele Aiello
D. Valsesia
E. Magli
DiffM
20
4
0
19 Jan 2023
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to
  Speech
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
Ze Chen
Yihan Wu
Yichong Leng
Jiawei Chen
Haohe Liu
...
Ke Wang
Lei He
Sheng Zhao
Jiang Bian
Danilo P. Mandic
DiffM
20
22
0
30 Dec 2022
Efficient Diffusion Models for Vision: A Survey
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq
Naveed Akhtar
MedIm
32
59
0
07 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
30
838
0
07 Sep 2022
CARD: Classification and Regression Diffusion Models
CARD: Classification and Regression Diffusion Models
Xizewen Han
Huangjie Zheng
Mingyuan Zhou
DiffM
28
107
0
15 Jun 2022
Conditional Simulation Using Diffusion Schrödinger Bridges
Conditional Simulation Using Diffusion Schrödinger Bridges
Yuyang Shi
Valentin De Bortoli
George Deligiannidis
Arnaud Doucet
DiffM
13
51
0
27 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
487
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
259
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
10,320
0
12 Dec 2018
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