MIS-NeRF: neural radiance fields in minimally-invasive surgery. [PDF]
Abstract Purpose Minimally-invasive surgery (MIS) reduces the trauma compared to open surgery but is challenging for endophytic lesion localisation. Augmented reality (AR) is a promising assistance, which superimposes a preoperative 3D lesion model onto the MIS images.
Khojasteh SB +4 more
europepmc +3 more sources
Obj-NeRF: Extract Object NeRFs from Multi-view Images
Neural Radiance Fields (NeRFs) have demonstrated remarkable effectiveness in novel view synthesis within 3D environments. However, extracting a radiance field of one specific object from multi-view images encounters substantial challenges due to ...
Ding, Lihe, Li, Zhiyi, Xue, Tianfan
core
Multi‐Spectral Gaussian Splatting with Neural Color Representation
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer +5 more
wiley +1 more source
Acceleration Approach for Neural Radiance Field in Dynamic 3D Human Reconstruction [PDF]
This study proposes a novel acceleration method for the Neural Radiance Field (NeRF) in dynamic 3D human reconstruction to address the challenges of low training efficiency and high computational complexity in volume rendering.
XIAO Yilong, DENG Yiqin, CHEN Zhigang
doaj +1 more source
CATNIPS: Collision Avoidance Through Neural Implicit Probabilistic Scenes
We introduce a transformation of a Neural Radiance Field (NeRF) to an equivalent Poisson Point Process (PPP). This PPP transformation allows for rigorous quantification of uncertainty in NeRFs, in particular, for computing collision probabilities for a ...
Chen, Timothy +2 more
core
See4D: Pose‐Free 4D Generation via Auto‐Regressive Video Inpainting
Abstract Immersive applications call for synthesizing spatiotemporal 4D content from casual videos without costly 3D supervision. Existing video‐to‐4D methods typically rely on manually annotated camera poses, which are labor‐intensive and brittle for in‐the‐wild footage.
Dongyue Lu +10 more
wiley +1 more source
COMPARISON OF STATE-OF-THE-ART MULTI-VIEW STEREO SOLUTIONS FOR CLOSE RANGE HERITAGE DOCUMENTATION [PDF]
In recent years novel 3D reconstruction methods have been developed to improve the conventional image-based point cloud generation techniques. These novel methods generally attempt to address various challenges encountered in conventional methods, namely,
A. Murtiyoso +4 more
doaj +1 more source
Mesh Processing Non‐Meshes via Neural Displacement Fields
Abstract Mesh processing pipelines are mature, but adapting them to newer non‐mesh surface representations—which enable fast rendering with compact file size—requires costly meshing or transmitting bulky meshes, negating their core benefits for streaming applications.
Yuta Noma +4 more
wiley +1 more source
Evaluating Radiance Field-Inspired Methods for 3D Indoor Reconstruction: A Comparative Analysis
An efficient and robust solution for 3D indoor reconstruction is crucial for various managerial operations in the Architecture, Engineering, and Construction (AEC) sector, such as indoor asset tracking and facility management.
Shuyuan Xu +3 more
doaj +1 more source
360Roam: Real-Time Indoor Roaming Using Geometry-Aware 360$^\circ$ Radiance Fields
Virtual tour among sparse 360$^\circ$ images is widely used while hindering smooth and immersive roaming experiences. The emergence of Neural Radiance Field (NeRF) has showcased significant progress in synthesizing novel views, unlocking the potential ...
Chen, Yingshu +3 more
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