Results 1 to 10 of about 3,165,496 (285)
Self-Evolving Neural Radiance Fields
CoRR, 2023 Recently, neural radiance field (NeRF) has shown remarkable performance in novel view synthesis and 3D reconstruction. However, it still requires abundant high-quality images, limiting its applicability in real-world scenarios. To overcome this limitation, recent works have focused on training NeRF only with sparse viewpoints by giving additional ...
Jaewoo Jung +5 more
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MMNeRF: Multi-Modal and Multi-View Optimized Cross-Scene Neural Radiance Fields
IEEE Access, 2023 We present MMNeRF, a simple yet powerful learning framework for highly photo-realistic novel view synthesis by learning Multi-modal and Multi-view features to guide neural radiance fields to a generic model.
Qi Zhang +3 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
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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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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
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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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Complex-Motion NeRF: Joint Reconstruction and Pose Optimization With Motion and Depth Priors
IEEE Access, 2023 We present Complex-Motion Neural Radiance Fields (CM-NeRF), which is a method that leverages motion and depth priors to optimize neural 3D scene representations and complex 6-DoF camera motions jointly.
Hyunjin Kim +3 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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SPARSESAT-NERF: DENSE DEPTH SUPERVISED NEURAL RADIANCE FIELDS FOR SPARSE SATELLITE IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Digital surface model generation using traditional multi-view stereo matching (MVS) performs poorly over non-Lambertian surfaces, with asynchronous acquisitions, or at discontinuities. Neural radiance fields (NeRF) offer a new paradigm for reconstructing
L. Zhang, L. Zhang, E. Rupnik
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NeRFUS: neural radiance fields with uncertainty and semantics [PDF]
PeerJ Computer ScienceIn recent years, significant progress has been made in the differentiable representation of three-dimensional scenes using neural radiance fields (NeRFs). These models can effectively synthesize novel views containing color information or semantic masks;
Egor Zubkov +2 more
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