Results 11 to 20 of about 8,361,437 (204)
Strata-NeRF : Neural Radiance Fields for Stratified Scenes [PDF]
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Neural Radiance Field (NeRF) approaches learn the underlying 3D representation of a scene and generate photo-realistic novel views with high fidelity. However, most proposed settings concentrate on modelling a single object or a single level of a scene.
Ankit Dhiman +6 more
core +5 more sources
Ev-NeRF: Event Based Neural Radiance Field
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Accepted to WACV ...
Inwoo Hwang +2 more
core +4 more sources
DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields [PDF]
Proceedings of the 30th ACM International Conference on Multimedia, 2022 Neural Radiance Field (NeRF) and its variants have exhibited great success on representing 3D scenes and synthesizing photo-realistic novel views. However, they are generally based on the pinhole camera model and assume all-in-focus inputs. This limits their applicability as images captured from the real world often have finite depth-of-field (DoF). To
Zijin Wu +5 more
openaire +3 more sources
NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior [PDF]
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Training a Neural Radiance Field (NeRF) without pre-computed camera poses is challenging. Recent advances in this direction demonstrate the possibility of jointly optimising a NeRF and camera poses in forward-facing scenes. However, these methods still face difficulties during dramatic camera movement.
Bian, W +4 more
core +10 more sources
Spec-NeRF: Multi-Spectral Neural Radiance Fields
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 <p>Spec-NeRF jointly optimizes the degradation parameters and achieves high-quality multi-spectral image reconstruction results at novel views, which only requires a low-cost camera (like a phone camera but in RAW mode) and several off-the-shelf color filters. We also provide real scenarios and synthetic datasets for related studies.
Jiabao Li +4 more
openaire +3 more sources
NeRF-Texture: Synthesizing Neural Radiance Field Textures [PDF]
IEEE Transactions on Pattern Analysis and Machine IntelligenceTexture synthesis is a fundamental problem in computer graphics that would benefit various applications. Existing methods are effective in handling 2D image textures. In contrast, many real-world textures contain meso-structure in the 3D geometry space, such as grass, leaves, and fabrics, which cannot be effectively modeled using only 2D image textures.
Yihua Huang 0002 +4 more
core +6 more sources
Sky-NeRF: Learning 4D Cloud Topography in a Dynamic Neural Radiance Field [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesWe present Sky-NeRF, a novel method for cloud topography estimation based on Dynamic Neural Radiance Fields. Similar to NeRF, we propose to model the 3D structure of clouds as a radiance field, encoded in the parameters of a neural representation.
T. Terrisse +3 more
doaj +2 more sources
NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 CVPR ...
Zhiwen Yan, Chen Li 0038, Gim Hee Lee
openaire +4 more sources
D-NeRF: Neural Radiance Fields for Dynamic Scenes [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Neural rendering techniques combining machine learning with geometric reasoning have arisen as one of the most promising approaches for synthesizing novel views of a scene from a sparse set of images. Among these, stands out the Neural radiance fields (NeRF), which trains a deep network to map 5D input coordinates (representing spatial location and ...
Pumarola Peris, Albert +3 more
openaire +5 more sources
NeRF-Editing: Geometry Editing of Neural Radiance Fields [PDF]
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Accepted by CVPR ...
Yu-Jie Yuan +5 more
openaire +4 more sources