Discovering Divergent Representations between Text-to-Image Models | Paper Citation Record

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This paper cites Introducing stable diffusion 3.5.https: //stability.ai/news/introducing- stable- diffusion-3-5, 2024.

Discovering Divergent Representations between Text-to-Image Models Introducing stable diffusion 3.5.https: //stability.ai/news/introducing- stable- diffusion-3-5, 2024

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This paper cites Llama 3 model card.

Discovering Divergent Representations between Text-to-Image Models Llama 3 model card

Reference 2

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This paper cites Claude 3.5 sonnet, 2024.

Discovering Divergent Representations between Text-to-Image Models Claude 3.5 sonnet, 2024

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Discovering Divergent Representations between Text-to-Image Models Unresolved cited work

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This paper cites Easily acces- sible text-to-image generation amplifies demographic stereo- types at large scale.

Discovering Divergent Representations between Text-to-Image Models Easily acces- sible text-to-image generation amplifies demographic stereo- types at large scale

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This paper cites Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,.

Discovering Divergent Representations between Text-to-Image Models Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,

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This paper cites Reproducible scal- ing laws for contrastive language-image learning.

Discovering Divergent Representations between Text-to-Image Models Reproducible scal- ing laws for contrastive language-image learning

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This paper cites Tibet: Identifying and evaluating biases in text-to-image generative models, 2023.

Discovering Divergent Representations between Text-to-Image Models Tibet: Identifying and evaluating biases in text-to-image generative models, 2023

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This paper cites Evolving interpretable visual classifiers with large language models.

Discovering Divergent Representations between Text-to-Image Models Evolving interpretable visual classifiers with large language models

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This paper cites DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models.

Discovering Divergent Representations between Text-to-Image Models DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models

Reference 10

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Discovering Divergent Representations between Text-to-Image Models Unresolved cited work

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This paper cites Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.Psycho- logical Bulletin, 70(4):213–220, 1968.

Discovering Divergent Representations between Text-to-Image Models Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.Psycho- logical Bulletin, 70(4):213–220, 1968

Reference 12

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This paper cites Openbias: Open-set bias detection in text-to-image generative models.

Discovering Divergent Representations between Text-to-Image Models Openbias: Open-set bias detection in text-to-image generative models

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This paper cites Gradbias: Un- veiling word influence on bias in text-to-image generative models, 2024.

Discovering Divergent Representations between Text-to-Image Models Gradbias: Un- veiling word influence on bias in text-to-image generative models, 2024

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This paper cites Efros, and Assaf Shocher.

Discovering Divergent Representations between Text-to-Image Models Efros, and Assaf Shocher

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This paper cites Dreamlike photoreal 2.0.https:// huggingface.co/dreamlike- art/dreamlike- photoreal-2.0, 2023.

Discovering Divergent Representations between Text-to-Image Models Dreamlike photoreal 2.0.https:// huggingface.co/dreamlike- art/dreamlike- photoreal-2.0, 2023

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This paper cites Gonzalez, and Serena Yeung-Levy.

Discovering Divergent Representations between Text-to-Image Models Gonzalez, and Serena Yeung-Levy

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This paper cites Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness.

Discovering Divergent Representations between Text-to-Image Models Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

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This paper cites Efros, and Jacob Steinhardt.

Discovering Divergent Representations between Text-to-Image Models Efros, and Jacob Steinhardt

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This paper cites Efros, and Jacob Steinhardt.

Discovering Divergent Representations between Text-to-Image Models Efros, and Jacob Steinhardt

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This paper cites Ghosh and A.

Discovering Divergent Representations between Text-to-Image Models Ghosh and A

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This paper cites Tiam - a metric for evaluating alignment in text- to-image generation.

Discovering Divergent Representations between Text-to-Image Models Tiam - a metric for evaluating alignment in text- to-image generation

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This paper cites Identifying Implicit Social Biases in Vision-Language Models.

Discovering Divergent Representations between Text-to-Image Models Identifying Implicit Social Biases in Vision-Language Models

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This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Discovering Divergent Representations between Text-to-Image Models CLIPScore: A Reference-free Evaluation Metric for Image Captioning

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This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Discovering Divergent Representations between Text-to-Image Models Gans trained by a two time-scale update rule converge to a local nash equilib- rium

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This paper cites TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering.

Discovering Divergent Representations between Text-to-Image Models TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering

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This paper cites The platonic representation hypothesis.

Discovering Divergent Representations between Text-to-Image Models The platonic representation hypothesis

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This paper cites Open- clip, 2021.

Discovering Divergent Representations between Text-to-Image Models Open- clip, 2021

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This paper cites Building and better understanding vision- language models: insights and future directions., 2024.

Discovering Divergent Representations between Text-to-Image Models Building and better understanding vision- language models: insights and future directions., 2024

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This paper cites Holis- tic evaluation of text-to-image models.

Discovering Divergent Representations between Text-to-Image Models Holis- tic evaluation of text-to-image models

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This paper cites Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image genera- tion, 2024.

Discovering Divergent Representations between Text-to-Image Models Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image genera- tion, 2024

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Discovering Divergent Representations between Text-to-Image Models Sdxl- lightning: Progressive adversarial diffusion distillation,

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Discovering Divergent Representations between Text-to-Image Models Visual instruction tuning

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Discovering Divergent Representations between Text-to-Image Models Organizing Unstructured Image Collections using Natural Language

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Discovering Divergent Representations between Text-to-Image Models Stable bias: Analyzing soci- etal representations in diffusion models

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Discovering Divergent Representations between Text-to-Image Models Hello gpt-4o.https : / / openai

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Discovering Divergent Representations between Text-to-Image Models Benchmark for compositional text- to-image synthesis

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Discovering Divergent Representations between Text-to-Image Models Learning transferable visual models from natural language supervision

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Discovering Divergent Representations between Text-to-Image Models Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

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Discovering Divergent Representations between Text-to-Image Models Improved techniques for training gans

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Discovering Divergent Representations between Text-to-Image Models LAION-5b: An open large-scale dataset for train- ing next generation image-text models

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Discovering Divergent Representations between Text-to-Image Models A statistical interpretation of term specificity and its application in retrieval.Journal of Doc- umentation, 28(1):11–21, 1972

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Discovering Divergent Representations between Text-to-Image Models Smith, Luke Zettlemoyer, and Tao Yu

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Discovering Divergent Representations between Text-to-Image Models Mass- producing failures of multimodal systems with language models, 2023

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This paper cites T2iat: Measuring valence and stereotypical biases in text-to-image generation, 2023.

Discovering Divergent Representations between Text-to-Image Models T2iat: Measuring valence and stereotypical biases in text-to-image generation, 2023

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Discovering Divergent Representations between Text-to-Image Models To- wards fairness in visual recognition: Effective strategies for bias mitigation

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This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Discovering Divergent Representations between Text-to-Image Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

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Discovering Divergent Representations between Text-to-Image Models Unresolved cited work

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Discovering Divergent Representations between Text-to-Image Models - A rating of 1 means the two attributes are not similar at all, and images containing one attribute would not contain the other

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This paper cites vines” Prompt Description: “technology.

Discovering Divergent Representations between Text-to-Image Models vines” Prompt Description: “technology

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Discovering Divergent Representations between Text-to-Image Models Unresolved cited work

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Discovering Divergent Representations between Text-to-Image Models Menacing appear- ance

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