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2403.03881
Cited By
Latent Dataset Distillation with Diffusion Models
6 March 2024
Brian B. Moser
Federico Raue
Sebastián M. Palacio
Stanislav Frolov
Andreas Dengel
DD
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Papers citing
"Latent Dataset Distillation with Diffusion Models"
20 / 20 papers shown
Title
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
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
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
Shiguang Wang
Zhongyu Zhang
Jian Cheng
DD
28
0
0
29 Aug 2024
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
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
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
Brian B. Moser
Federico Raue
Andreas Dengel
SupR
44
4
0
25 Mar 2024
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
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
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
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
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
Axel Sauer
Katja Schwarz
Andreas Geiger
182
489
0
01 Feb 2022
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
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
Bo-Lu Zhao
Hakan Bilen
DD
196
288
0
16 Feb 2021
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
Tero Karras
S. Laine
Timo Aila
279
10,348
0
12 Dec 2018
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