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Personalized News Recommendation Dataset
The dataset used in the paper is a personalized news recommendation dataset. The goal is to learn to recommend articles to any user (depending on their contextual features) to... -
Learning with Abandonment
Consider a platform that wants to learn a personalized policy for each user, but the platform faces the risk of a user abandoning the platform if she is dissatisfied with the... -
Key-locked rank one editing for text-to-image personalization
Key-locked rank one editing for text-to-image personalization. -
DreamBooth
The dataset used in this paper for testing the effectiveness of the disguise generation algorithm. -
Textual Inversion
Textual Inversion: An image is worth one word: Personalizing text-to-image generation using textual inversion. -
CatVersion
CatVersion allows users to learn the personalized concept through a handful of examples and then utilize text prompts to generate images that embody the personalized concept. -
CustomConcept101
The CustomConcept101 dataset is a dataset of 101 concepts across 16 broader categories, used for evaluating personalization approaches in text-to-image diffusion models. -
My3DGen: A Scalable Personalized 3D Generative Model
The dataset used in the paper is a collection of 50 images of individuals, used for personalizing a 3D generative model. -
MULTI-CONCEPT T2I-ZERO: TWEAKING ONLY THE TEXT EMBEDDINGS AND NOTHING ELSE
The dataset used in the paper is a text-to-image diffusion model, specifically Stable Diffusion. The authors used this model to generate images from text prompts and evaluated...
