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GRADE: Quantifying Sample Diversity in Text-to-Image Models
v1v2 (latest)

GRADE: Quantifying Sample Diversity in Text-to-Image Models

29 October 2024
Royi Rassin
Aviv Slobodkin
Shauli Ravfogel
Yanai Elazar
Yoav Goldberg
ArXiv (abs)PDFHTML

Papers citing "GRADE: Quantifying Sample Diversity in Text-to-Image Models"

29 / 29 papers shown
Title
Generating an Image From 1,000 Words: Enhancing Text-to-Image With Structured Captions
Generating an Image From 1,000 Words: Enhancing Text-to-Image With Structured Captions
Eyal Gutflaish
Eliran Kachlon
Hezi Zisman
Tal Hacham
Nimrod Sarid
...
Saar Huberman
Gal Davidi
Guy Bukchin
Kfir Goldberg
Ron Mokady
DiffMVLM
209
1
0
10 Nov 2025
CAIRe: Cultural Attribution of Images by Retrieval-Augmented Evaluation
CAIRe: Cultural Attribution of Images by Retrieval-Augmented Evaluation
Arnav Yayavaram
Siddharth Yayavaram
Simran Khanuja
Michael Saxon
Graham Neubig
216
0
0
10 Jun 2025
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models
Revant Teotia
Candace Ross
Karen Ullrich
S. Chopra
Adriana Romero-Soriano
Melissa Hall
Matthew Muckley
EGVMVLM
322
1
0
05 Jun 2025
RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation
RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation
Aviv Slobodkin
Hagai Taitelbaum
Yonatan Bitton
Brian Gordon
Michal Sokolik
Nitzan Bitton-Guetta
Almog Gueta
Royi Rassin
Itay Laish
Dani Lischinski
EGVMVGen
340
1
0
24 Apr 2025
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
Moreno DÍncà
E. Peruzzo
Massimiliano Mancini
Dejia Xu
Vidit Goel
Xingqian Xu
Zinan Lin
Humphrey Shi
Andrii Zadaianchuk
226
66
0
11 Apr 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
1.8K
2,619
0
05 Mar 2024
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
Rethinking FID: Towards a Better Evaluation Metric for Image GenerationComputer Vision and Pattern Recognition (CVPR), 2023
Sadeep Jayasumana
Srikumar Ramalingam
Andreas Veit
Daniel Glasner
Ayan Chakrabarti
Sanjiv Kumar
EGVM
279
263
0
30 Nov 2023
Adversarial Diffusion Distillation
Adversarial Diffusion DistillationEuropean Conference on Computer Vision (ECCV), 2023
Axel Sauer
Dominik Lorenz
A. Blattmann
Robin Rombach
847
585
0
28 Nov 2023
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Simian Luo
Yiqin Tan
Suraj Patil
Daniel Gu
Patrick von Platen
Apolinário Passos
Longbo Huang
Jian Li
Hang Zhao
MoMe
558
203
0
09 Nov 2023
Attribute Based Interpretable Evaluation Metrics for Generative Models
Attribute Based Interpretable Evaluation Metrics for Generative ModelsInternational Conference on Machine Learning (ICML), 2023
Dongkyun Kim
Mingi Kwon
Youngjung Uh
EGVM
241
3
0
26 Oct 2023
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity
  Metrics For Science And Machine Learning
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
Amey P. Pasarkar
Adji Bousso Dieng
370
20
0
19 Oct 2023
The Bias Amplification Paradox in Text-to-Image Generation
The Bias Amplification Paradox in Text-to-Image GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
P. Seshadri
Sameer Singh
Yanai Elazar
DiffM
232
71
0
01 Aug 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image
  Synthesis
SDXL: Improving Latent Diffusion Models for High-Resolution Image SynthesisInternational Conference on Learning Representations (ICLR), 2023
Dustin Podell
Zion English
Kyle Lacey
A. Blattmann
Tim Dockhorn
Jonas Muller
Joe Penna
Robin Rombach
967
3,688
0
04 Jul 2023
Inverse Scaling: When Bigger Isn't Better
Inverse Scaling: When Bigger Isn't Better
I. R. McKenzie
Alexander Lyzhov
Michael Pieler
Alicia Parrish
Aaron Mueller
...
Yuhui Zhang
Zhengping Zhou
Najoung Kim
Sam Bowman
Ethan Perez
232
173
0
15 Jun 2023
DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image
  Models
DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image ModelsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2022
Royi Rassin
Shauli Ravfogel
Yoav Goldberg
177
64
0
19 Oct 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text modelsNeural Information Processing Systems (NeurIPS), 2022
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLMMLLMCLIP
752
4,469
0
16 Oct 2022
Underspecification in Scene Description-to-Depiction Tasks
Underspecification in Scene Description-to-Depiction Tasks
Ben Hutchinson
Jason Baldridge
Vinodkumar Prabhakaran
DiffM
196
38
0
11 Oct 2022
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman
Adji Bousso Dieng
EGVM
362
191
0
05 Oct 2022
The Role of ImageNet Classes in Fréchet Inception Distance
The Role of ImageNet Classes in Fréchet Inception DistanceInternational Conference on Learning Representations (ICLR), 2022
Tuomas Kynkaanniemi
Tero Karras
M. Aittala
Timo Aila
J. Lehtinen
EGVMVLM
474
252
0
11 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
DiffM
1.8K
20,624
0
20 Dec 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image SynthesisNeural Information Processing Systems (NeurIPS), 2021
Prafulla Dhariwal
Alex Nichol
1.7K
10,136
0
11 May 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
2.0K
40,402
0
26 Feb 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative ModelsInternational Conference on Machine Learning (ICML), 2021
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
283
242
0
17 Feb 2021
Effectively Unbiased FID and Inception Score and where to find them
Effectively Unbiased FID and Inception Score and where to find themComputer Vision and Pattern Recognition (CVPR), 2019
Min Jin Chong
David A. Forsyth
EGVM
465
231
0
16 Nov 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
447
1,053
0
15 Apr 2019
Assessing Generative Models via Precision and Recall
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
EGVM
445
663
0
31 May 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
2.0K
1,778
0
04 Jan 2018
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
1.3K
9,790
0
10 Jun 2016
Going Deeper with Convolutions
Going Deeper with ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2014
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
1.3K
46,038
0
17 Sep 2014
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