Personalizing generative models offers a way to guide image generation with user-provided
references. Current personalization methods can invert an object or concept into the textual …

Reasoning about the intrinsic properties of an image, such as albedo, illumination, and
surface geometry, is a long-standing problem with many applications in image editing and …

Learning from multi-view images using neural implicit signed distance functions shows
impressive performance on 3D Reconstruction of opaque objects. However, existing …

Unsupervised monocular depth estimation plays a vital role for endoscopy-based minimally
invasive surgery (MIS). However, it remains challenging due to the distinctive imaging …

Kernel matching pursuit (KMP) requires every step of the searching process to be global
optimal searching in the redundant dictionary of functions in order to select the best …

Intrinsic image decomposition (IID) aims to extract intrinsic components from natural images,
namely shading and reflectance, which is widely applied in computer vision and image …