Results 71 to 80 of about 8,361,437 (204)

Is-NeRF: In-scattering Neural Radiance Field for Blurred Images

CoRR
Neural Radiance Fields (NeRF) has gained significant attention for its prominent implicit 3D representation and realistic novel view synthesis capabilities. Available works unexceptionally employ straight-line volume rendering, which struggles to handle sophisticated lightpath scenarios and introduces geometric ambiguities during training, particularly
Nan Luo, Chenglin Ye, Jiaxu Li, Gang Liu, Bo Wan, Di Wang, Lupeng Liu, Jun Xiao 0005   +7 more
openaire   +3 more sources

Enhance-NeRF: Multiple Performance Evaluation for Neural Radiance Fields

CoRR, 2023
The quality of three-dimensional reconstruction is a key factor affecting the effectiveness of its application in areas such as virtual reality (VR) and augmented reality (AR) technologies. Neural Radiance Fields (NeRF) can generate realistic images from any viewpoint.
Qianqiu Tan, Tao Liu, Yinling Xie, Shuwan Yu, Baohua Zhang 0001   +4 more
openaire   +3 more sources

4D Facial Avatar Reconstruction From Monocular Video via Efficient and Controllable Neural Radiance Fields

IEEE Access
We present an efficient approach for monocular 4D facial avatar reconstruction using a dynamic neural radiance field (NeRF). Over the years, NeRFs have been popular methods for 3D scene representation, but lack computational efficiency and controllabilty,
Jeong-Gi Kwak, Hanseok Ko
doaj   +1 more source

See4D: Pose‐Free 4D Generation via Auto‐Regressive Video Inpainting

Computer Graphics Forum, EarlyView.
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, Ao Liang, Tianxin Huang, Xiao Fu, Yuyang Zhao, Baorui Ma, Liang Pan, Wei Yin, Lingdong Kong, Wei Tsang Ooi, Ziwei Liu   +10 more
wiley   +1 more source

Mesh Processing Non‐Meshes via Neural Displacement Fields

Computer Graphics Forum, EarlyView.
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, Zhecheng Wang, Chenxi Liu, Karan Singh, Alec Jacobson   +4 more
wiley   +1 more source

Neural Radiance Fields (NeRFs): A Review and Some Recent Developments

CoRR, 2023
Neural Radiance Field (NeRF) is a framework that represents a 3D scene in the weights of a fully connected neural network, known as the Multi-Layer Perception(MLP). The method was introduced for the task of novel view synthesis and is able to achieve state-of-the-art photorealistic image renderings from a given continuous viewpoint. NeRFs have become a
openaire   +2 more sources

Evaluating Radiance Field-Inspired Methods for 3D Indoor Reconstruction: A Comparative Analysis

Buildings
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, Jun Wang, Jingfeng Xia, Wenchi Shou   +3 more
doaj   +1 more source

Acceleration Approach for Neural Radiance Field in Dynamic 3D Human Reconstruction [PDF]

Jisuanji gongcheng
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

High‐Gloss SVBRDF Capture Using Bounce Light

Computer Graphics Forum, EarlyView.
Abstract Reflectance capture aims at the visual reproduction of an object under varying illumination. Past works differ substantially in their experimental overhead, from single‐ or few‐image approaches, that employ significant (often learned) priors at the expense of biased reconstructions, to more accurate approaches that tend to be time‐consuming ...
Tomáš Iser, Andrei‐Timotei Ardelean, Tim Weyrich   +2 more
wiley   +1 more source

Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields

, 2023
Recent advances in Neural radiance fields (NeRF) have enabled high-fidelity scene reconstruction for novel view synthesis. However, NeRF requires hundreds of network evaluations per pixel to approximate a volume rendering integral, making it slow to ...
Zeng, Yuan, Gong, Yi, Wang, Yifan
core