This paper presents a novel approach for surface mesh reconstruction from 3D Gaussian
Splatting (3DGS)[20], a technique renowned for its efficiency in novel view synthesis but …

Particle-based representations of radiance fields such as 3D Gaussian Splatting have found
great success for reconstructing and re-rendering of complex scenes. Most existing methods …

The recent 3D Gaussian splatting (3D-GS) has shown remarkable rendering fidelity and
efficiency compared to NeRF-based neural scene representations. While demonstrating the …

Presenting a 3D scene from multiview images remains a core and long-standing challenge
in computer vision and computer graphics. Two main requirements lie in rendering and …

We introduce a new approach for reconstruction and novel-view synthesis of unbounded
real-world scenes. In contrast to previous methods using either volumetric fields, grid-based …

We present MegaSurf, a Neural Surface Reconstruction (NSR) framework to reconstruct 3D
models of large scenes from aerial images. Many methods utilize geometry cues to …

In this work, we address the challenge of deploying Neural Radiance Field (NeRFs) in
Simultaneous Localization and Mapping (SLAM) under the condition of lacking depth …

Recent advances in novel view synthesis (NVS), particularly neural radiance fields (NeRF)
and Gaussian splatting (3DGS), have demonstrated impressive results in photorealistic …

Geometric reconstruction of opaque surfaces from images is a longstanding challenge in
computer vision, with renewed interest from volumetric view synthesis algorithms using …

Neural Radiance Fields (NeRFs) have revolutionized the field of inverse rendering due to
their ability to synthesize high-quality novel views and applicability in practical contexts …