HR-NeRF: advancing realism and accuracy in highlight scene representation
NeRF and its variants excel in novel view synthesis but struggle with scenes featuring specular highlights. To address this limitation, we introduce the Highlight Recovery Network (HRNet), a new architecture that enhances NeRF's ability to capture specular scenes. HRNet incorporates Swish activ...
Saved in:
| Main Authors: | Shufan Dai, Shanqin Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
|
| Series: | Frontiers in Neurorobotics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2025.1558948/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Real-Time Volume-Rendering Image Denoising Based on Spatiotemporal Weighted Kernel Prediction
by: Xinran Xu, et al.
Published: (2025-04-01) -
Performance Evaluation and Optimization of 3D Gaussian Splatting in Indoor Scene Generation and Rendering
by: Xinjian Fang, et al.
Published: (2025-01-01) -
Ortho-NeRF: generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images
by: Shihan Chen, et al.
Published: (2025-03-01) -
Depth-Supervised and Curvature-Optimized 3D Gaussian Splatting for Scene Reconstruction
by: Antong Li, et al.
Published: (2025-01-01) -
SpiNeRF: direct-trained spiking neural networks for efficient neural radiance field rendering
by: Xingting Yao, et al.
Published: (2025-07-01)