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. 2401.00110
  4. Cited By
Diffusion Model with Perceptual Loss
v1v2v3v4v5 (latest)

Diffusion Model with Perceptual Loss

30 December 2023
Shanchuan Lin
Xiao Yang
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Diffusion Model with Perceptual Loss"

30 / 30 papers shown
Title
Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large
  Language Models
Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models
Bingchen Liu
Ehsan Akhgari
Alexander Visheratin
Aleks Kamko
Linmiao Xu
Shivam Shrirao
Joao Souza
Suhail Doshi
Daiqing Li
Daiqing Li
DiffMMLLM
100
60
0
16 Sep 2024
Information Theoretic Text-to-Image Alignment
Information Theoretic Text-to-Image Alignment
Chao Wang
Giulio Franzese
A. Finamore
Massimo Gallo
Pietro Michiardi
131
0
0
31 May 2024
Guided Diffusion from Self-Supervised Diffusion Features
Guided Diffusion from Self-Supervised Diffusion Features
Vincent Tao Hu
Yunlu Chen
Mathilde Caron
Yuki M. Asano
Cees G. M. Snoek
Bjorn Ommer
87
11
0
14 Dec 2023
Common Diffusion Noise Schedules and Sample Steps are Flawed
Common Diffusion Noise Schedules and Sample Steps are Flawed
Shanchuan Lin
Bingchen Liu
Jiashi Li
Xiao Yang
DiffM
84
229
0
15 May 2023
Efficient Diffusion Training via Min-SNR Weighting Strategy
Efficient Diffusion Training via Min-SNR Weighting Strategy
Tiankai Hang
Shuyang Gu
Chen Li
Jianmin Bao
Dong Chen
Han Hu
Xin Geng
B. Guo
74
163
0
16 Mar 2023
Scalable Diffusion Models with Transformers
Scalable Diffusion Models with Transformers
William S. Peebles
Saining Xie
GNN
122
2,436
0
19 Dec 2022
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
110
89
0
28 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
193
614
0
02 Nov 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLMMLLMCLIP
200
3,502
0
16 Oct 2022
Improving Sample Quality of Diffusion Models Using Self-Attention
  Guidance
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
Susung Hong
Gyuseong Lee
Wooseok Jang
Seung Wook Kim
DiffM
98
105
0
03 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion
DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole
Ajay Jain
Jonathan T. Barron
B. Mildenhall
177
2,439
0
29 Sep 2022
Make-A-Video: Text-to-Video Generation without Text-Video Data
Make-A-Video: Text-to-Video Generation without Text-Video Data
Uriel Singer
Adam Polyak
Thomas Hayes
Xiaoyue Yin
Jie An
...
Oron Ashual
Oran Gafni
Devi Parikh
Sonal Gupta
Yaniv Taigman
DiffMVGen
85
1,434
0
29 Sep 2022
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
Chuanxia Zheng
L. Vuong
Jianfei Cai
Dinh Q. Phung
MQ
141
80
0
19 Sep 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
220
1,053
0
07 Sep 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
196
3,971
0
26 Jul 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
241
1,464
0
02 Jun 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
228
2,033
0
01 Jun 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLMDiffM
425
6,921
0
13 Apr 2022
Perception Prioritized Training of Diffusion Models
Perception Prioritized Training of Diffusion Models
Jooyoung Choi
Jungbeom Lee
Chaehun Shin
Sungwon Kim
Hyunwoo J. Kim
Sung-Hoon Yoon
DiffM
122
251
0
01 Apr 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
298
30,152
0
01 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
511
15,788
0
20 Dec 2021
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
486
1,654
0
10 Nov 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
308
7,958
0
11 May 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
176
673
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
385
6,592
0
26 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
304
7,500
0
06 Oct 2020
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
384
11,938
0
11 Jan 2018
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
488
9,076
0
10 Jun 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
312
7,035
0
12 Mar 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
437
43,875
0
01 May 2014
1