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. 2502.04475
  4. Cited By
Augmented Conditioning Is Enough For Effective Training Image Generation

Augmented Conditioning Is Enough For Effective Training Image Generation

6 February 2025
Jiahui Chen
Amy Zhang
Adriana Romero-Soriano
    DiffM
    VLM
ArXivPDFHTML

Papers citing "Augmented Conditioning Is Enough For Effective Training Image Generation"

14 / 14 papers shown
Title
Scaling Laws of Synthetic Images for Model Training ... for Now
Scaling Laws of Synthetic Images for Model Training ... for Now
Lijie Fan
Kaifeng Chen
Dilip Krishnan
Dina Katabi
Phillip Isola
Yonglong Tian
CLIP
VLM
52
67
0
07 Dec 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models
Fill-Up: Balancing Long-Tailed Data with Generative Models
Joonghyuk Shin
Minguk Kang
Jaesik Park
70
32
0
12 Jun 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual
  Representation Learners
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
Yonglong Tian
Lijie Fan
Phillip Isola
Huiwen Chang
Dilip Krishnan
VLM
DiffM
71
147
0
01 Jun 2023
An Image is Worth One Word: Personalizing Text-to-Image Generation using
  Textual Inversion
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal
Yuval Alaluf
Yuval Atzmon
Or Patashnik
Amit H. Bermano
Gal Chechik
Daniel Cohen-Or
86
1,837
0
02 Aug 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
282
6,768
0
13 Apr 2022
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
681
28,659
0
26 Feb 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
191
560
0
21 Jul 2020
Effectively Unbiased FID and Inception Score and where to find them
Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong
David A. Forsyth
EGVM
47
202
0
16 Nov 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
162
1,203
0
21 Oct 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
581
4,735
0
13 May 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
118
1,148
0
10 Apr 2019
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
435
10,281
0
16 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
266
43,290
0
01 May 2014
1