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. 2403.03881
  4. Cited By
Latent Dataset Distillation with Diffusion Models

Latent Dataset Distillation with Diffusion Models

6 March 2024
Brian B. Moser
Federico Raue
Sebastián M. Palacio
Stanislav Frolov
Andreas Dengel
    DD
ArXivPDFHTML

Papers citing "Latent Dataset Distillation with Diffusion Models"

20 / 20 papers shown
Title
Latent Video Dataset Distillation
Latent Video Dataset Distillation
Ning Li
Antai Andy Liu
Jingran Zhang
Justin Cui
DD
VGen
65
0
0
23 Apr 2025
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization
Bowen Yuan
Yuxia Fu
Zijian Wang
Yadan Luo
Zi Huang
DD
70
0
0
18 Mar 2025
Distilling Dataset into Neural Field
DongHyeok Shin
Heesun Bae
Gyuwon Sim
Wanmo Kang
Il-Chul Moon
DD
68
1
0
05 Mar 2025
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
Kai Wang
Zekai Li
Zhi-Qi Cheng
Samir Khaki
A. Sajedi
Ramakrishna Vedantam
Konstantinos N. Plataniotis
Alexander G. Hauptmann
Yang You
DD
62
4
0
22 Oct 2024
UDD: Dataset Distillation via Mining Underutilized Regions
UDD: Dataset Distillation via Mining Underutilized Regions
Shiguang Wang
Zhongyu Zhang
Jian Cheng
DD
28
0
0
29 Aug 2024
Webcam-based Pupil Diameter Prediction Benefits from Upscaling
Webcam-based Pupil Diameter Prediction Benefits from Upscaling
Vijul Shah
Brian B. Moser
Ko Watanabe
Andreas Dengel
40
2
0
19 Aug 2024
Generative Dataset Distillation Based on Diffusion Model
Generative Dataset Distillation Based on Diffusion Model
Duo Su
Junjie Hou
Guang Li
Ren Togo
Rui Song
Takahiro Ogawa
Miki Haseyama
VGen
DD
32
4
0
16 Aug 2024
Prioritize Alignment in Dataset Distillation
Prioritize Alignment in Dataset Distillation
Zekai Li
Ziyao Guo
Wangbo Zhao
Tianle Zhang
Zhi-Qi Cheng
...
Kaipeng Zhang
A. Sajedi
Konstantinos N Plataniotis
Kai Wang
Yang You
DD
43
2
0
06 Aug 2024
A Study in Dataset Pruning for Image Super-Resolution
A Study in Dataset Pruning for Image Super-Resolution
Brian B. Moser
Federico Raue
Andreas Dengel
SupR
44
4
0
25 Mar 2024
Dataset Distillation in Latent Space
Dataset Distillation in Latent Space
Yuxuan Duan
Jianfu Zhang
Liqing Zhang
DD
45
6
0
27 Nov 2023
Generalizing Dataset Distillation via Deep Generative Prior
Generalizing Dataset Distillation via Deep Generative Prior
George Cazenavette
Tongzhou Wang
Antonio Torralba
Alexei A. Efros
Jun-Yan Zhu
DD
91
84
0
02 May 2023
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
Brian B. Moser
Federico Raue
Stanislav Frolov
Jörn Hees
Sebastián M. Palacio
Andreas Dengel
33
34
0
27 Sep 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
1,302
0
02 Sep 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization
Dataset Condensation via Efficient Synthetic-Data Parameterization
Jang-Hyun Kim
Jinuk Kim
Seong Joon Oh
Sangdoo Yun
Hwanjun Song
Joonhyun Jeong
Jung-Woo Ha
Hyun Oh Song
DD
388
158
0
30 May 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
489
0
01 Feb 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
F. I. F. Richard Yu
Radu Timofte
Luc Van Gool
DiffM
215
1,354
0
24 Jan 2022
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
176
686
0
22 Apr 2021
Dataset Condensation with Differentiable Siamese Augmentation
Dataset Condensation with Differentiable Siamese Augmentation
Bo-Lu Zhao
Hakan Bilen
DD
196
288
0
16 Feb 2021
Designing an Encoder for StyleGAN Image Manipulation
Designing an Encoder for StyleGAN Image Manipulation
Omer Tov
Yuval Alaluf
Yotam Nitzan
Or Patashnik
Daniel Cohen-Or
214
776
0
04 Feb 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
279
10,348
0
12 Dec 2018
1