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. 2406.07699
  4. Cited By
CUPID: Contextual Understanding of Prompt-conditioned Image
  Distributions

CUPID: Contextual Understanding of Prompt-conditioned Image Distributions

11 June 2024
Yayan Zhao
Mingwei Li
Matthew Berger
    DiffM
ArXivPDFHTML

Papers citing "CUPID: Contextual Understanding of Prompt-conditioned Image Distributions"

10 / 10 papers shown
Title
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models
Salma Abdel Magid
Weiwei Pan
Simon Warchol
Grace Guo
Junsik Kim
Mahia Rahman
Hanspeter Pfister
113
0
0
06 Oct 2024
Class-constrained t-SNE: Combining Data Features and Class Probabilities
Class-constrained t-SNE: Combining Data Features and Class Probabilities
Linhao Meng
S. V. D. Elzen
Nicola Pezzotti
Anna Vilanova
45
11
0
26 Aug 2023
What You See is What You Read? Improving Text-Image Alignment Evaluation
What You See is What You Read? Improving Text-Image Alignment Evaluation
Michal Yarom
Yonatan Bitton
Soravit Changpinyo
Roee Aharoni
Jonathan Herzig
Oran Lang
E. Ofek
Idan Szpektor
EGVM
71
80
0
17 May 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
60
4,015
1
10 Feb 2023
Testing Relational Understanding in Text-Guided Image Generation
Testing Relational Understanding in Text-Guided Image Generation
C. Conwell
T. Ullman
EGVM
171
65
0
29 Jul 2022
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine
  Learning with Treemaps
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps
Donald Bertucci
M. Hamid
Yashwanthi Anand
Anita Ruangrotsakun
Delyar Tabatabai
Melissa Perez
Minsuk Kahng
53
29
0
14 May 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
276
6,768
0
13 Apr 2022
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
438
2,340
0
02 Sep 2021
Normalizing Flows for Probabilistic Modeling and Inference
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPM
AI4CE
137
1,662
0
05 Dec 2019
Supporting Analysis of Dimensionality Reduction Results with Contrastive
  Learning
Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning
Takanori Fujiwara
Oh-Hyun Kwon
K. Ma
64
77
0
10 May 2019
1