Text-to-image diffusion models in generative ai: A survey
This survey reviews text-to-image diffusion models in the context that diffusion models have
emerged to be popular for a wide range of generative tasks. As a self-contained work, this …
emerged to be popular for a wide range of generative tasks. As a self-contained work, this …
Easily accessible text-to-image generation amplifies demographic stereotypes at large scale
Machine learning models that convert user-written text descriptions into images are now
widely available online and used by millions of users to generate millions of images a day …
widely available online and used by millions of users to generate millions of images a day …
When and why vision-language models behave like bags-of-words, and what to do about it?
Despite the success of large vision and language models (VLMs) in many downstream
applications, it is unclear how well they encode the compositional relationships between …
applications, it is unclear how well they encode the compositional relationships between …
Stable bias: Evaluating societal representations in diffusion models
As machine learning-enabled Text-to-Image (TTI) systems are becoming increasingly
prevalent and seeing growing adoption as commercial services, characterizing the social …
prevalent and seeing growing adoption as commercial services, characterizing the social …
Stable bias: Analyzing societal representations in diffusion models
As machine learning-enabled Text-to-Image (TTI) systems are becoming increasingly
prevalent and seeing growing adoption as commercial services, characterizing the social …
prevalent and seeing growing adoption as commercial services, characterizing the social …
Iti-gen: Inclusive text-to-image generation
Text-to-image generative models often reflect the biases of the training data, leading to
unequal representations of underrepresented groups. This study investigates inclusive text …
unequal representations of underrepresented groups. This study investigates inclusive text …
Dall-eval: Probing the reasoning skills and social biases of text-to-image generation models
Recently, DALL-E, a multimodal transformer language model, and its variants including
diffusion models have shown high-quality text-to-image generation capabilities. However …
diffusion models have shown high-quality text-to-image generation capabilities. However …
AI's regimes of representation: A community-centered study of text-to-image models in South Asia
This paper presents a community-centered study of cultural limitations of text-to-image (T2I)
models in the South Asian context. We theorize these failures using scholarship on …
models in the South Asian context. We theorize these failures using scholarship on …
Leaving reality to imagination: Robust classification via generated datasets
Recent research on robustness has revealed significant performance gaps between neural
image classifiers trained on datasets that are similar to the test set, and those that are from a …
image classifiers trained on datasets that are similar to the test set, and those that are from a …
Fair diffusion: Instructing text-to-image generation models on fairness
Generative AI models have recently achieved astonishing results in quality and are
consequently employed in a fast-growing number of applications. However, since they are …
consequently employed in a fast-growing number of applications. However, since they are …