U-Net has become a cornerstone in various visual applications such as image segmentation
and diffusion probability models. While numerous innovative designs and improvements …

Generative models hold promise for revolutionizing medical education, robot-assisted
surgery, and data augmentation for machine learning. Despite progress in generating 2D …

Recent advances in learning multi-modal representation have witnessed the success in
biomedical domains. While established techniques enable handling multi-modal …

Abstract 3D reconstruction of biological tissues from a collection of endoscopic images is a
key to unlock various important downstream surgical applications with 3D capabilities …

As a crucial and intricate task in robotic minimally invasive surgery, reconstructing surgical
scenes using stereo or monocular endoscopic video holds immense potential for clinical …

Tissue deformation poses a key challenge for accurate surgical scene reconstruction.
Despite yielding high reconstruction quality, existing methods suffer from slow rendering …

With the rapid development of 3D vision and computer graphics technology, the way
humans interact with the world has undergone significant transformations. 3D vision-related …

Open-vocabulary object detection (OVD) utilizes image-level cues to expand the linguistic
space of region proposals, thereby facilitating the detection of diverse novel classes. Recent …

Generating diverse plausible outputs from a single input is crucial for addressing visual
ambiguities, exemplified in medical imaging where experts may provide varying semantic …

Surgical 3D reconstruction is a critical area of research in robotic surgery, with recent works
adopting variants of dynamic radiance fields to achieve success in 3D reconstruction of …