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. 2208.07791
  4. Cited By
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model

16 August 2022
Xiulong Yang
Sheng-Min Shih
Yinlin Fu
Xiaoting Zhao
Shihao Ji
    DiffM
ArXivPDFHTML

Papers citing "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"

13 / 13 papers shown
Title
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification
Jiachen Li
Xiaojin Gong
DiffM
84
0
0
10 Feb 2025
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Rongkun Xue
Jinouwen Zhang
Yazhe Niu
Dazhong Shen
Bingqi Ma
Yu Liu
Jing Yang
77
0
0
29 Nov 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
73
64
0
09 Oct 2024
Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion
Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion
Zizhao Hu
Mohammad Rostami
34
0
0
25 May 2024
DiffiT: Diffusion Vision Transformers for Image Generation
DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh
Jiaming Song
Guilin Liu
Jan Kautz
Arash Vahdat
31
66
0
04 Dec 2023
DiffuVolume: Diffusion Model for Volume based Stereo Matching
DiffuVolume: Diffusion Model for Volume based Stereo Matching
Dian Zheng
Xiao-Ming Wu
Zuhao Liu
Jingke Meng
Weixin Zheng
DiffM
16
13
0
30 Aug 2023
Masked Diffusion Models Are Fast Distribution Learners
Masked Diffusion Models Are Fast Distribution Learners
Jiachen Lei
Qinglong Wang
Pengyu Cheng
Zhongjie Ba
Zhan Qin
Zhibo Wang
Zhenguang Liu
Kui Ren
DiffM
29
2
0
20 Jun 2023
Towards understanding neural collapse in supervised contrastive learning
  with the information bottleneck method
Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method
Siwei Wang
S. Palmer
26
2
0
19 May 2023
Transformer-based Generative Adversarial Networks in Computer Vision: A
  Comprehensive Survey
Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey
S. Dubey
Satish Kumar Singh
ViT
38
33
0
17 Feb 2023
Exploring Vision Transformers as Diffusion Learners
Exploring Vision Transformers as Diffusion Learners
He Cao
Jianan Wang
Tianhe Ren
Xianbiao Qi
Yihao Chen
Yuan Yao
L. Zhang
44
10
0
28 Dec 2022
Efficient Diffusion Models for Vision: A Survey
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq
Naveed Akhtar
MedIm
32
60
0
07 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,304
0
02 Sep 2022
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
280
1,982
0
09 Feb 2021
1