Robust e-nerf: Nerf from sparse & noisy events under non-uniform motion
Event cameras offer many advantages over standard cameras due to their distinctive
principle of operation: low power, low latency, high temporal resolution and high dynamic …
principle of operation: low power, low latency, high temporal resolution and high dynamic …
Nsf: Neural surface fields for human modeling from monocular depth
Obtaining personalized 3D animatable avatars from a monocular camera has several real
world applications in gaming, virtual try-on, animation, and VR/XR, etc. However, it is very …
world applications in gaming, virtual try-on, animation, and VR/XR, etc. However, it is very …
Deformable neural radiance fields using rgb and event cameras
Abstract Modeling Neural Radiance Fields for fast-moving deformable objects from visual
data alone is a challenging problem. A major issue arises due to the high deformation and …
data alone is a challenging problem. A major issue arises due to the high deformation and …
Eventego3d: 3d human motion capture from egocentric event streams
Monocular egocentric 3D human motion capture is a challenging and actively researched
problem. Existing methods use synchronously operating visual sensors (eg RGB cameras) …
problem. Existing methods use synchronously operating visual sensors (eg RGB cameras) …
3d pose estimation of two interacting hands from a monocular event camera
3D hand tracking from a monocular video is a very challenging problem due to hand
interactions, occlusions, left-right hand ambiguity, and fast motion. Most existing methods …
interactions, occlusions, left-right hand ambiguity, and fast motion. Most existing methods …
Gen-3Diffusion: Realistic Image-to-3D Generation via 2D & 3D Diffusion Synergy
Creating realistic 3D objects and clothed avatars from a single RGB image is an attractive
yet challenging problem. Due to its ill-posed nature, recent works leverage powerful prior …
yet challenging problem. Due to its ill-posed nature, recent works leverage powerful prior …
Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view Event Cameras
Volumetric reconstruction of dynamic scenes is an important problem in computer vision. It is
especially challenging in poor lighting and with fast motion. It is partly due to the limitations …
especially challenging in poor lighting and with fast motion. It is partly due to the limitations …