Customization techniques for text-to-image models have paved the way for a wide range of
previously unattainable applications enabling the generation of specific concepts across …

Abstract Leveraging Stable Diffusion for the generation of personalized portraits has
emerged as a powerful and noteworthy tool enabling users to create high-fidelity custom …

We introduce X-Adapter a universal upgrader to enable the pretrained plug-and-play
modules (eg ControlNet LoRA) to work directly with the upgraded text-to-image diffusion …

The diffusion-based text-to-image model harbors immense potential in transferring reference
style. However current encoder-based approaches significantly impair the text controllability …

Abstract Concept personalization methods enable large text-to-image models to learn
specific subjects (eg objects/poses/3D models) and synthesize renditions in new contexts …

Recent advancements in generative models have significantly impacted content creation,
leading to the emergence of Personalized Content Synthesis (PCS). With a small set of user …

Low-Rank Adaptation~(LoRA), which updates the dense neural network layers with
pluggable low-rank matrices, is one of the best performed parameter efficient fine-tuning …

Novel view synthesis has observed tremendous developments since the arrival of NeRFs.
However, Nerf models overfit on a single scene, lacking generalization to out of distribution …

Style transfer is an inventive process designed to create an image that maintains the
essence of the original while embracing the visual style of another. Although diffusion …