NeISF: Neural Incident Stokes Field for Geometry and Material Estimation

C Li, T Ono, T Uemori, H Mihara… - Proceedings of the …, 2024 - openaccess.thecvf.com
Multi-view inverse rendering is the problem of estimating the scene parameters such as
shapes materials or illuminations from a sequence of images captured under different …

ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images

J Jeong, J Koo, Q Zhang, G Kim - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Existing NeRF-based inverse rendering methods suppose that scenes are exclusively
illuminated by distant light sources neglecting the potential influence of emissive sources …

Real‐time Neural Rendering of Dynamic Light Fields

A Coomans, EA Dominci, C Döring… - Computer Graphics …, 2024 - Wiley Online Library
Synthesising high‐quality views of dynamic scenes via path tracing is prohibitively
expensive. Although caching offline‐quality global illumination in neural networks alleviates …

Fast and Accurate Neural Rendering Using Semi-Gradients

IY Cho, J Cho - arXiv preprint arXiv:2410.10149, 2024 - arxiv.org
We propose a simple yet effective neural network-based framework for global illumination
rendering. Recently, rendering techniques that learn neural radiance caches by minimizing …

Joint Optimization of Triangle Mesh, Material, and Light from Neural Fields with Neural Radiance Cache

J Sun, Z Zhang, T Chu, G Li, L Zhao, W Xing - arXiv preprint arXiv …, 2023 - arxiv.org
Traditional inverse rendering techniques are based on textured meshes, which naturally
adapts to modern graphics pipelines, but costly differentiable multi-bounce Monte Carlo …

Deep Learning Based High-Resolution Edge Detection for Microwave Imaging using a Variational Autoencoder

SRR Pour, L Ahmadi… - 2023 13th International …, 2023 - ieeexplore.ieee.org
The reconstructed images in microwave imaging usually have low resolutions due to the ill-
posedness of the nonlinear problem. However, Incorporating a priori information in image …