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NeuroPrompts: An Adaptive Framework to Optimize Prompts for
  Text-to-Image Generation
v1v2 (latest)

NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation

20 November 2023
Shachar Rosenman
Vasudev Lal
Phillip Howard
    DiffM
ArXiv (abs)PDFHTML

Papers citing "NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation"

11 / 11 papers shown
Title
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer
  Data Augmentation
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
Phillip Howard
Gadi Singer
Vasudev Lal
Yejin Choi
Swabha Swayamdipta
CML
103
25
0
22 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 models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLMMLLMCLIP
200
3,493
0
16 Oct 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
VLMDiffM
413
6,908
0
13 Apr 2022
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
364
3,627
0
20 Dec 2021
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead
  Heuristics
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics
Ximing Lu
Sean Welleck
Peter West
Liwei Jiang
Jungo Kasai
...
Lianhui Qin
Youngjae Yu
Rowan Zellers
Noah A. Smith
Yejin Choi
59
165
0
16 Dec 2021
Design Guidelines for Prompt Engineering Text-to-Image Generative Models
Design Guidelines for Prompt Engineering Text-to-Image Generative Models
Vivian Liu
Lydia B. Chilton
65
499
0
14 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
584
4,084
0
18 Apr 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
Guanghui Qin
J. Eisner
63
547
0
14 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAMLRALM
390
1,389
0
17 Jan 2021
NeuroLogic Decoding: (Un)supervised Neural Text Generation with
  Predicate Logic Constraints
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints
Ximing Lu
Peter West
Rowan Zellers
Ronan Le Bras
Chandra Bhagavatula
Yejin Choi
NAI
85
147
0
24 Oct 2020
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
538
19,265
0
20 Jul 2017
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