Results 81 to 90 of about 10,601 (230)

PNP: A Review Framework towards Efficient NeRF Study and Research

, 2023
Rapid advancements in techniques and applications of NeRF technologies have been seen in both academia and industry recently. It becomes apparent that there is a need to consolidate and organize the theoretical and practical knowledge on the end to end ...
Mohan, Pallavi, Yeo, Jin Qi, Ng, Aik Beng, Guan, Frank, See, Simon, Chen, Kan   +5 more
core   +1 more source

NeRF-based 3D reconstruction with multi-scale feature fusion

Dianzi Jishu Yingyong
3D reconstruction plays a critical role in various fields, including computer vision and artificial intelligence, medical imaging, architecture, and urban planning. To address the inefficiency of traditional manual modeling methods, this paper proposes a
Chen Defeng, Hu Junguo, Liu Zhengfeng, Zhu Chao   +3 more
doaj   +1 more source

KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter

accepted to ...
Yifan Zhan, Zhuoxiao Li, Muyao Niu, Zhihang Zhong, Shohei Nobuhara, Ko Nishino, Yinqiang Zheng   +6 more
openaire   +4 more sources

NoPe‐NeRF++: Local‐to‐Global Optimization of NeRF with No Pose Prior

Computer Graphics Forum
AbstractIn this paper, we introduce NoPe‐NeRF++, a novel local‐to‐global optimization algorithm for training Neural Radiance Fields (NeRF) without requiring pose priors. Existing methods, particularly NoPe‐NeRF, which focus solely on the local relationships within images, often struggle to recover accurate camera poses in complex scenarios. To overcome
Dongbo Shi, Shen Cao, Bojian Wu, Jinhui Guo, Lubin Fan, Renjie Chen 0001, Ligang Liu 0001, Jieping Ye   +7 more
openaire   +4 more sources

TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps

Computer Graphics Forum, EarlyView.
Abstract We present TreeON, a novel neural‐based framework for reconstructing detailed 3D tree point clouds from sparse top‐down geodata, using only a single orthophoto and its corresponding Digital Surface Model (DSM). Our method introduces a new training supervision strategy that combines both geometric supervision and a differentiable shadow and ...
Angeliki Grammatikaki, Johannes Eschner, Pedro Hermosilla, Oscar Argudo, Manuela Waldner   +4 more
wiley   +1 more source

Stationnement, le nerf de la guerre [PDF]

, 2015
STATIONNEMENT, LE NERF DE LA GUERRE Collage (Rights reserved) (-) Ausgabe 2015,3 Stationnement, le nerf de la guerre (Rights reserved) (-

core  

LeafFit: Plant Assets Creation from 3D Gaussian Splatting

Computer Graphics Forum, EarlyView.
Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley   +1 more source

Enhancing View Synthesis with Depth-Guided Neural Radiance Fields and Improved Depth Completion

Sensors
Neural radiance fields (NeRFs) leverage a neural representation to encode scenes, obtaining photorealistic rendering of novel views. However, NeRF has notable limitations.
Bojun Wang, Danhong Zhang, Yixin Su, Huajun Zhang   +3 more
doaj   +1 more source

Residual-NeRF: Learning Residual NeRFs for Transparent Object Manipulation

2024 IEEE International Conference on Robotics and Automation (ICRA)
Transparent objects are ubiquitous in industry, pharmaceuticals, and households. Grasping and manipulating these objects is a significant challenge for robots. Existing methods have difficulty reconstructing complete depth maps for challenging transparent objects, leaving holes in the depth reconstruction.
Bardienus Pieter Duisterhof, Yuemin Mao, Si Heng Teng, Jeffrey Ichnowski   +3 more
openaire   +3 more sources

Layer3D: A 3D Layered Representation for Multiview Vector Graphics

Computer Graphics Forum, EarlyView.
Abstract We present Layer3D, a novel 3D neural representation that models objects as collections of decomposable neural implicit primitives. These primitives enable the generation of layered images with consistent correspondences across viewpoints, establishing a flexible framework for multiview vector graphics decomposition.
Zhongyue Guan, Yixin Hu, Zeyu Wang
wiley   +1 more source