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Generative Models as a Data Source for Multiview Representation Learning

Generative Models as a Data Source for Multiview Representation Learning

9 June 2021
Ali Jahanian
Xavier Puig
Yonglong Tian
Phillip Isola
ArXivPDFHTML

Papers citing "Generative Models as a Data Source for Multiview Representation Learning"

28 / 28 papers shown
Title
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder
Shiming Chen
Dingjie Fu
Salman Khan
Fahad Shahbaz Khan
VLM
18
0
0
17 May 2025
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Haoxin Li
Boyang Li
CoGe
73
0
0
03 Mar 2025
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Che Liu
Zhongwei Wan
Haozhe Wang
Yinda Chen
T. Qaiser
Chen Jin
Fariba Yousefi
Nikolay Burlutskiy
Rossella Arcucci
VLM
SyDa
LM&MA
MedIm
69
2
0
17 Oct 2024
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
Yicheng Chen
Xiangtai Li
Yining Li
Yanhong Zeng
Jianzong Wu
Xiangyu Zhao
Kai Chen
VLM
DiffM
56
3
0
28 Jun 2024
Contrastive Learning from Synthetic Audio Doppelgängers
Contrastive Learning from Synthetic Audio Doppelgängers
Manuel Cherep
Nikhil Singh
40
1
0
09 Jun 2024
Future-Proofing Class-Incremental Learning
Future-Proofing Class-Incremental Learning
Quentin Jodelet
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
VLM
44
2
0
04 Apr 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into
  Data Generation, Volume, and Utilization
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization
Yuhang Li
Xin Dong
Chen Chen
Jingtao Li
Yuxin Wen
Michael Spranger
Lingjuan Lyu
DiffM
30
4
0
28 Mar 2024
Controlled Training Data Generation with Diffusion Models
Controlled Training Data Generation with Diffusion Models
Teresa Yeo
Andrei Atanov
Harold Benoit
Aleksandr Alekseev
Ruchira Ray
Pooya Esmaeil Akhoondi
Amir Zamir
47
4
0
22 Mar 2024
AI-Generated Images as Data Source: The Dawn of Synthetic Era
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
31
18
0
03 Oct 2023
CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from
  Unbounded Synthesized Images
CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images
Sookwan Han
Hanbyul Joo
32
14
0
23 Aug 2023
Constructive Assimilation: Boosting Contrastive Learning Performance
  through View Generation Strategies
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Ligong Han
Seung-Jun Han
Shivchander Sudalairaj
Charlotte Loh
Rumen Dangovski
...
Pulkit Agrawal
Dimitris N. Metaxas
Leonid Karlinsky
Tsui-Wei Weng
Akash Srivastava
27
1
0
02 Apr 2023
Effective Data Augmentation With Diffusion Models
Effective Data Augmentation With Diffusion Models
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
VLM
DiffM
32
232
0
07 Feb 2023
Extracting Training Data from Diffusion Models
Extracting Training Data from Diffusion Models
Nicholas Carlini
Jamie Hayes
Milad Nasr
Matthew Jagielski
Vikash Sehwag
Florian Tramèr
Borja Balle
Daphne Ippolito
Eric Wallace
DiffM
63
569
0
30 Jan 2023
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion
Yushi Lan
Xuyi Meng
Shuai Yang
Chen Change Loy
Bo Dai
3DH
3DV
39
30
0
14 Dec 2022
A Dataless FaceSwap Detection Approach Using Synthetic Images
A Dataless FaceSwap Detection Approach Using Synthetic Images
Anubhav Jain
Nasir D. Memon
Julian Togelius
CVBM
21
4
0
05 Dec 2022
Expanding Small-Scale Datasets with Guided Imagination
Expanding Small-Scale Datasets with Guided Imagination
Yifan Zhang
Daquan Zhou
Bryan Hooi
Kaixin Wang
Jiashi Feng
44
46
0
25 Nov 2022
Local Manifold Augmentation for Multiview Semantic Consistency
Local Manifold Augmentation for Multiview Semantic Consistency
Yu Yang
Wing Yin Cheung
Chang-rui Liu
Xiang Ji
37
1
0
05 Nov 2022
Is synthetic data from generative models ready for image recognition?
Is synthetic data from generative models ready for image recognition?
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Philip Torr
Song Bai
Xiaojuan Qi
52
285
0
14 Oct 2022
Covariance Matrix Adaptation MAP-Annealing
Covariance Matrix Adaptation MAP-Annealing
Matthew C. Fontaine
Stefanos Nikolaidis
48
25
0
22 May 2022
GAN-Supervised Dense Visual Alignment
GAN-Supervised Dense Visual Alignment
William S. Peebles
Jun-Yan Zhu
Richard Y. Zhang
Antonio Torralba
Alexei A. Efros
Eli Shechtman
29
67
0
09 Dec 2021
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
Oindrila Saha
Zezhou Cheng
Subhransu Maji
39
17
0
01 Dec 2021
Semantic-Aware Generation for Self-Supervised Visual Representation
  Learning
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
Yunjie Tian
Lingxi Xie
Xiaopeng Zhang
Jiemin Fang
Haohang Xu
Wei Huang
Jianbin Jiao
Qi Tian
QiXiang Ye
SSL
GAN
36
16
0
25 Nov 2021
Learning to See by Looking at Noise
Learning to See by Looking at Noise
Manel Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
28
89
0
10 Jun 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,796
0
24 Feb 2021
Improving the Fairness of Deep Generative Models without Retraining
Improving the Fairness of Deep Generative Models without Retraining
Shuhan Tan
Yujun Shen
Bolei Zhou
183
59
0
09 Dec 2020
Image GANs meet Differentiable Rendering for Inverse Graphics and
  Interpretable 3D Neural Rendering
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Yuxuan Zhang
Wenzheng Chen
Huan Ling
Jun Gao
Yinan Zhang
Antonio Torralba
Sanja Fidler
DRL
100
138
0
18 Oct 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
194
541
0
08 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
297
10,368
0
12 Dec 2018
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