Results 21 to 30 of about 8,359,557 (286)
EfficientNeRF - Efficient Neural Radiance Fields
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Neural Radiance Fields (NeRF) has been wildly applied to various tasks for its high-quality representation of 3D scenes. It takes long per-scene training time and per-image testing time. In this paper, we present EfficientNeRF as an efficient NeRF-based method to represent 3D scene and synthesize novel-view images.
Tao Hu 0011 +4 more
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MarkNerf:Watermarking for Neural Radiance Field
CoRR, 2023 A watermarking algorithm is proposed in this paper to address the copyright protection issue of implicit 3D models. The algorithm involves embedding watermarks into the images in the training set through an embedding network, and subsequently utilizing the NeRF model for 3D modeling.
Lifeng Chen +5 more
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Cross-Spectral Neural Radiance Fields
2022 International Conference on 3D Vision (3DV), 2022 We propose X-NeRF, a novel method to learn a Cross-Spectral scene representation given images captured from cameras with different light spectrum sensitivity, based on the Neural Radiance Fields formulation. X-NeRF optimizes camera poses across spectra during training and exploits Normalized Cross-Device Coordinates (NXDC) to render images of different
Matteo Poggi +5 more
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Steganography for Neural Radiance Fields by Backdooring
CoRR, 2023 The utilization of implicit representation for visual data (such as images, videos, and 3D models) has recently gained significant attention in computer vision research. In this letter, we propose a novel model steganography scheme with implicit neural representation.
Weina Dong +5 more
openaire +3 more sources
Nerfies: Deformable Neural Radiance Fields [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 We present the first method capable of photorealistically reconstructing deformable scenes using photos/videos captured casually from mobile phones. Our approach augments neural radiance fields (NeRF) by optimizing an additional continuous volumetric deformation field that warps each observed point into a canonical 5D NeRF.
Keunhong Park +6 more
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Estimating Neural Reflectance Field from Radiance Field using Tree Structures [PDF]
, 2022 We present a new method for estimating the Neural Reflectance Field (NReF) of an object from a set of posed multi-view images under unknown lighting.
Li, Xiu, Lu, Yan, Li, Xiao
core +1 more source
Reinforcement Learning with Neural Radiance Fields
Advances in Neural Information Processing Systems 35, 2022 It is a long-standing problem to find effective representations for training reinforcement learning (RL) agents. This paper demonstrates that learning state representations with supervision from Neural Radiance Fields (NeRFs) can improve the performance of RL compared to other learned representations or even low-dimensional, hand-engineered state ...
Danny Driess +4 more
openaire +4 more sources
Self-Calibrating Neural Radiance Fields [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Accepted in ICCV21, Project Page: https://postech-cvlab.github.io/SCNeRF/
Jeong, Yoonwoo +5 more
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Locally Stylized Neural Radiance Fields
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 ICCV ...
Hong-Wing Pang +2 more
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Eigengrasp-Conditioned Neural Radiance Fields
IEEE Access, 2023 In this study, we address the problem of learning a posture-controllable three-dimensional (3D) representation of articulated robotic hands. Neural radiance fields (NeRFs) have outperformed grid-like 3D representations on a novel view synthesis tasks; however, rendering novel views while controlling the joints and posture of robotic hands using NeRFs ...
Hiroaki Aizawa, Itoshi Naramura
openaire +3 more sources