NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects
CVPR ...
Zhiwen Yan, Chen Li 0038, Gim Hee Lee
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections [PDF]
We present a learning-based method for synthesizing novel views of complex scenes using only unstructured collections of in-the-wild photographs. We build on Neural Radiance Fields (NeRF), which uses the weights of a multilayer perceptron to model the density and color of a scene as a function of 3D coordinates.
Ricardo Martin-Brualla +5 more
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FEW SHOT PHOTOGRAMETRY: A COMPARISON BETWEEN NERF AND MVS-SFM FOR THE DOCUMENTATION OF CULTURAL HERITAGE [PDF]
3D documentation methods for Digital Cultural Heritage (DCH) domain is a field that becomes increasingly interdisciplinary, breaking down boundaries that have long separated experts from different domains.
E. Balloni +4 more
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NeRF-QA: Neural Radiance Fields Quality Assessment Database
This short paper proposes a new database - NeRF-QA - containing 48 videos synthesized with seven NeRF based methods, along with their perceived quality scores, resulting from subjective assessment tests; for the videos selection, both real and synthetic, 360 degrees scenes were considered.
Pedro Martin +3 more
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NeRF applied to satellite imagery for surface reconstruction
We present Surf-NeRF, a modified implementation of the recently introduced Shadow Neural Radiance Field (S-NeRF) model. This method is able to synthesize novel views from a sparse set of satellite images of a scene, while accounting for the variation in ...
Carroll, Patrick +3 more
core
Neural Radiance Field-Inspired Depth Map Refinement for Accurate Multi-View Stereo
In this paper, we propose a method to refine the depth maps obtained by Multi-View Stereo (MVS) through iterative optimization of the Neural Radiance Field (NeRF).
Shintaro Ito +3 more
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Efficient View Synthesis with Neural Radiance Distribution Field
Recent work on Neural Radiance Fields (NeRF) has demonstrated significant advances in high-quality view synthesis. A major limitation of NeRF is its low rendering efficiency due to the need for multiple network forwardings to render a single pixel ...
Cui, Shuguang +5 more
core
NeRF-Loc: Visual Localization with Conditional Neural Radiance Field
We propose a novel visual re-localization method based on direct matching between the implicit 3D descriptors and the 2D image with transformer. A conditional neural radiance field(NeRF) is chosen as the 3D scene representation in our pipeline, which supports continuous 3D descriptors generation and neural rendering.
Jianlin Liu +3 more
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Embracing Radiance Field Rendering in 6G: Over-the-Air Training and Inference With 3-D Contents
The efficient representation, transmission, and reconstruction of three-dimensional (3D) contents are becoming increasingly important for sixth-generation (6G) networks that aim to merge virtual and physical worlds for offering immersive communication ...
Guanlin Wu +3 more
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EGENEFACE: HIGH QUALITY GENERALIZED TALKING FACE SYNTHESIZING ENABLED BY AUDIO [PDF]
A critical issue in virtual reality and filmmaking is the generation of photo-realistic video portraits from random spoken recordings. The use of neural radiance fields is to enhance 3D realism and image authenticity has been the subject of several ...
Nilam Thakkar +2 more
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