High-fidelity and real-time novel view synthesis for dynamic scenes
This paper aims to tackle the challenge of dynamic view synthesis from multi-view videos.
The key observation is that while previous grid-based methods offer consistent rendering …
The key observation is that while previous grid-based methods offer consistent rendering …
Gaussian in the wild: 3d gaussian splatting for unconstrained image collections
Novel view synthesis from unconstrained in-the-wild images remains a meaningful but
challenging task. The photometric variation and transient occluders in those unconstrained …
challenging task. The photometric variation and transient occluders in those unconstrained …
Recent Trends in 3D Reconstruction of General Non‐Rigid Scenes
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 …
real scenes, is essential for computer graphics and computer vision. It enables the …
NeRF-HuGS: Improved neural radiance fields in non-static scenes using heuristics-guided segmentation
Abstract Neural Radiance Field (NeRF) has been widely recognized for its excellence in
novel view synthesis and 3D scene reconstruction. However their effectiveness is inherently …
novel view synthesis and 3D scene reconstruction. However their effectiveness is inherently …
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
Abstract Neural Radiance Fields (NeRFs) have shown remarkable success in synthesizing
photorealistic views from multi-view images of static scenes but face challenges in dynamic …
photorealistic views from multi-view images of static scenes but face challenges in dynamic …
A Category Agnostic Model for Visual Rearrangment
This paper presents a novel category agnostic model for visual rearrangement task which
can help an embodied agent to physically recover the shuffled scene configuration without …
can help an embodied agent to physically recover the shuffled scene configuration without …
Nothing stands still: A spatiotemporal benchmark on 3d point cloud registration under large geometric and temporal change
Building 3D geometric maps of man-made spaces is a well-established and active field that
is fundamental to computer vision and robotics. However, considering the evolving nature of …
is fundamental to computer vision and robotics. However, considering the evolving nature of …