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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... -
Custom Diffusion
The dataset used in this paper is a large-scale text-to-image diffusion model, which consists of 35 subjects with unique pets and objects. -
DiffusionTalker: Personalization and Acceleration for Speech-Driven 3D Face
Speech-driven 3D facial animation has been an attractive task in both academia and industry. Traditional methods mostly focus on learning a deterministic mapping from speech to... -
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. -
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.
