The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …

Abstract We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and
novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes …

Prior work for articulated 3D shape reconstruction often relies on specialized multi-view and
depth sensors or pre-built deformable 3D models. Such methods do not scale to diverse sets …

Abstract We propose Neural-DynamicReconstruction (NDR), a template-free method to
recover high-fidelity geometry and motions of a dynamic scene from a monocular RGB-D …

Remarkable progress has been made in 3D reconstruction of rigid structures from a video or
a collection of images. However, it is still challenging to reconstruct nonrigid structures from …

Given monocular videos, we build 3D models of articulated objects and environments
whose 3D configurations satisfy dynamics and contact constraints. At its core, our method …

Abstract We propose MFT--Multi-Flow dense Tracker--a novel method for dense, pixel-level,
long-term tracking. The approach exploits optical flows estimated not only between …

We introduce ViSER, a method for recovering articulated 3D shapes and dense3D
trajectories from monocular videos. Previous work on high-quality reconstruction of dynamic …

Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …