ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.16102
  4. Cited By
Diffusion-TTA: Test-time Adaptation of Discriminative Models via
  Generative Feedback
v1v2 (latest)

Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback

27 November 2023
Mihir Prabhudesai
Tsung-Wei Ke
Alexander C. Li
Deepak Pathak
Katerina Fragkiadaki
    TTA
ArXiv (abs)PDFHTML

Papers citing "Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback"

17 / 17 papers shown
BRIC: Bridging Kinematic Plans and Physical Control at Test Time
BRIC: Bridging Kinematic Plans and Physical Control at Test Time
Dohun Lim
Minji Kim
Jaewoon Lim
Sungchan Kim
TTA
335
0
0
25 Nov 2025
Test-Time Iterative Error Correction for Efficient Diffusion Models
Test-Time Iterative Error Correction for Efficient Diffusion Models
Yunshan Zhong
Yanwei Qi
Yuxin Zhang
161
0
0
09 Nov 2025
SteeringTTA: Guiding Diffusion Trajectories for Robust Test-Time-Adaptation
SteeringTTA: Guiding Diffusion Trajectories for Robust Test-Time-Adaptation
Jihyun Yu
Yoojin Oh
Wonho Bae
Mingyu Kim
Junhyug Noh
TTALLMSV
308
0
0
16 Oct 2025
Can World Models Benefit VLMs for World Dynamics?
Can World Models Benefit VLMs for World Dynamics?
Kevin Zhang
Kuangzhi Ge
Xiaowei Chi
Renrui Zhang
Shaojun Shi
Zhen Dong
Sirui Han
Shanghang Zhang
VGenVLM
134
5
0
01 Oct 2025
Adapting Vision-Language Models Without Labels: A Comprehensive Survey
Adapting Vision-Language Models Without Labels: A Comprehensive Survey
Hao Dong
Lijun Sheng
Jian Liang
Ran He
Eleni Chatzi
Olga Fink
OffRLVLM
217
4
0
07 Aug 2025
Unified Multimodal Discrete Diffusion
Unified Multimodal Discrete Diffusion
Alexander Swerdlow
Mihir Prabhudesai
Siddharth Gandhi
Deepak Pathak
Katerina Fragkiadaki
DiffM
337
23
0
26 Mar 2025
SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models
SketchFusion: Learning Universal Sketch Features through Fusing Foundation ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Subhadeep Koley
Tapas Kumar Dutta
Aneeshan Sain
Pinaki Nath Chowdhury
A. Bhunia
Yi-Zhe Song
VLM
330
1
0
18 Mar 2025
MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments
MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments
Zhixuan Liu
H. Zhu
R. Chen
Jonathan M Francis
Soonmin Hwang
Jiangning Zhang
Jean Oh
VGen
1.2K
2
0
18 Mar 2025
DIR: Retrieval-Augmented Image Captioning with Comprehensive
  Understanding
DIR: Retrieval-Augmented Image Captioning with Comprehensive Understanding
Hao Wu
Zhihang Zhong
Xiao Sun
DiffM
305
1
0
02 Dec 2024
Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models
Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Hamidreza Dastmalchi
Aijun An
A. Cheraghian
Shafin Rahman
Sameera Ramasinghe
DiffMTTA
331
5
0
21 Nov 2024
Dual-frame Fluid Motion Estimation with Test-time Optimization and
  Zero-divergence Loss
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence LossNeural Information Processing Systems (NeurIPS), 2024
Yifei Zhang
Huan-ang Gao
Zhou Jiang
Hang Zhao
235
2
0
15 Oct 2024
Diffusion Feedback Helps CLIP See Better
Diffusion Feedback Helps CLIP See BetterInternational Conference on Learning Representations (ICLR), 2024
Wenxuan Wang
Quan-Sen Sun
Fan Zhang
Yepeng Tang
Jing Liu
Xinlong Wang
VLM
331
39
0
29 Jul 2024
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time
  Adaptation
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation
Yunbei Zhang
Akshay Mehra
Jihun Hamm
VLM
304
12
0
12 Jun 2024
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via
  Synthetic-Domain Alignment
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
Jiayi Guo
Junhao Zhao
Chunjiang Ge
Chaoqun Du
Zanlin Ni
Shiji Song
Humphrey Shi
Gao Huang
TTADiffM
255
8
0
06 Jun 2024
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Inseop Chung
Kyomin Hwang
Jayeon Yoo
Nojun Kwak
TTA
274
0
0
02 Mar 2024
Generative Learning for Forecasting the Dynamics of Complex Systems
Generative Learning for Forecasting the Dynamics of Complex Systems
Han Gao
Sebastian Kaltenbach
Petros Koumoutsakos
AI4TSAI4CE
354
10
0
27 Feb 2024
A Sampling-Based Domain Generalization Study with Diffusion Generative Models
A Sampling-Based Domain Generalization Study with Diffusion Generative Models
Ye Zhu
Yu Wu
Duo Xu
Zhiwei Deng
Yan Yan
Olga Russakovsky
DiffM
348
1
0
13 Oct 2023
1
Page 1 of 1