Distilling Dataset into Neural Field

5 March 2025

Papers citing "Distilling Dataset into Neural Field"

33 / 33 papers shown

Title
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 167 13 0 15 Jun 2024
Latent Dataset Distillation with Diffusion Models Brian B. Moser Federico Raue Sebastián M. Palacio Stanislav Frolov Andreas Dengel DD 96 16 0 06 Mar 2024
Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement Ziyu Wang Yue Xu Cewu Lu Yong-Lu Li DD 98 12 0 01 Dec 2023
Frequency Domain-based Dataset Distillation DongHyeok Shin Seungjae Shin Il-Chul Moon DD 85 19 0 15 Nov 2023
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation Haizhong Zheng Jiachen Sun Shutong Wu B. Kailkhura Zhuoqing Mao Chaowei Xiao Atul Prakash DD 55 2 0 11 Oct 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo Kai Wang George Cazenavette Hui Li Kaipeng Zhang Yang You DD 84 76 0 09 Oct 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 110 129 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 89 92 0 13 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 88 77 0 11 Jan 2023
Understanding Sinusoidal Neural Networks Tiago Novello 86 2 0 04 Dec 2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 100 142 0 19 Nov 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 489 168 0 30 May 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 185 395 0 22 Mar 2022
Neural Fields in Visual Computing and Beyond Yiheng Xie Towaki Takikawa Shunsuke Saito Or Litany Shiqin Yan Numair Khan Federico Tombari James Tompkin Vincent Sitzmann Srinath Sridhar 3DH 179 630 0 22 Nov 2021
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 77 308 0 08 Oct 2021
3D Neural Scene Representations for Visuomotor Control Yunzhu Li Shuang Li Vincent Sitzmann Pulkit Agrawal Antonio Torralba 114 141 0 08 Jul 2021
Generative Models as Distributions of Functions Emilien Dupont Yee Whye Teh Arnaud Doucet 80 108 0 09 Feb 2021
Adversarial Generation of Continuous Images Ivan Skorokhodov Savva Ignatyev Mohamed Elhoseiny GAN 76 174 0 24 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 673 41,430 0 22 Oct 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 126 2,440 0 18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 165 2,571 0 17 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming Zalan Borsos Mojmír Mutný Andreas Krause CLL 80 238 0 06 Jun 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 611 4,905 0 23 Jan 2020
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 63 525 0 28 May 2019
Deep Learning for Image Super-resolution: A Survey Zhihao Wang Jian Chen Guosheng Lin SupR 84 1,439 0 16 Feb 2019
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks Zhi-Qin John Xu Yaoyu Zhang Yaoyu Zhang Yan Xiao Zheng Ma 124 519 0 19 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 133 3,705 0 16 Jan 2019
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 154 1,455 0 22 Jun 2018
The Expressive Power of Neural Networks: A View from the Width Zhou Lu Hongming Pu Feicheng Wang Zhiqiang Hu Liwei Wang 99 899 0 08 Sep 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 172 5,538 0 09 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild K. Soomro Amir Zamir M. Shah CLIP VGen 160 6,164 0 03 Dec 2012