Results 31 to 40 of about 24,246 (264)
Super-NeRF: View-consistent Detail Generation for NeRF super-resolution [PDF]
, 2023 The neural radiance field (NeRF) achieved remarkable success in modeling 3D scenes and synthesizing high-fidelity novel views. However, existing NeRF-based methods focus more on the make full use of the image resolution to generate novel views, but less ...
Wang, Yuwang +4 more
core +1 more source
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis [PDF]
IEEE International Conference on Computer Vision, 2021 We present DietNeRF, a 3D neural scene representation estimated from a few images. Neural Radiance Fields (NeRF) learn a continuous volumetric representation of a scene through multi-view consistency, and can be rendered from novel viewpoints by ray ...
Ajay Jain, Matthew Tancik, P. Abbeel
semanticscholar +1 more source
Open-NeRF: Towards Open Vocabulary NeRF Decomposition [PDF]
, 2023 In this paper, we address the challenge of decomposing Neural Radiance Fields (NeRF) into objects from an open vocabulary, a critical task for object manipulation in 3D reconstruction and view synthesis.
Li, Fang, Zhang, Hao, Ahuja, Narendra
core +1 more source
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields [PDF]
Computer Vision and Pattern Recognition, 2022 Neural Radiance Fields (NeRFs) have emerged as a popular approach for novel view synthesis. While NeRFs are quickly being adapted for a wider set of applications, intuitively editing NeRF scenes is still an open challenge.
Ashkan Mirzaei +6 more
semanticscholar +1 more source
Continuous Dynamic-NeRF: Spline-NeRF
CoRR, 2022 The problem of reconstructing continuous functions over time is important for problems such as reconstructing moving scenes, and interpolating between time steps. Previous approaches that use deep-learning rely on regularization to ensure that reconstructions are approximately continuous, which works well on short sequences.
openaire +3 more sources
, 2023 First release of list of a curative list of Implicit Representations and NeRF papers relating to Robotics/RL ...
Muhammad Zubair Irshad
core +1 more source
Frontiers in Behavioral Neuroscience, 2020 Memories of past events and common knowledge are critical to flexibly adjust one’s future behavior based on prior experiences. The formation and the transformation of these memories into a long-lasting form are supported by a dialogue between populations
Frédéric Michon +10 more
doaj +1 more source
HeadNeRF: A Realtime NeRF-based Parametric Head Model [PDF]
Computer Vision and Pattern Recognition, 2021 In this paper, we propose HeadNeRF, a novel NeRF-based parametric head model that integrates the neural radiance field to the parametric representation of the human head.
Yang Hong +4 more
semanticscholar +1 more source
NeRF-Editing: Geometry Editing of Neural Radiance Fields [PDF]
Computer Vision and Pattern Recognition, 2022 Implicit neural rendering, especially Neural Radiance Field (NeRF), has shown great potential in novel view synthesis of a scene. However, current NeRF-based methods cannot enable users to perform user-controlled shape deformation in the scene.
Yu-Jie Yuan +5 more
semanticscholar +1 more source
NeRF-RPN: A general framework for object detection in NeRFs
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 This paper presents the first significant object detection framework, NeRF-RPN, which directly operates on NeRF. Given a pre-trained NeRF model, NeRF-RPN aims to detect all bounding boxes of objects in a scene. By exploiting a novel voxel representation that incorporates multi-scale 3D neural volumetric features, we demonstrate it is possible to ...
Benran Hu 0001 +4 more
openaire +3 more sources