NeISF: Neural Incident Stokes Field for Geometry and Material Estimation
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 …
shapes materials or illuminations from a sequence of images captured under different …
ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images
Existing NeRF-based inverse rendering methods suppose that scenes are exclusively
illuminated by distant light sources neglecting the potential influence of emissive sources …
illuminated by distant light sources neglecting the potential influence of emissive sources …
Real‐time Neural Rendering of Dynamic Light Fields
Synthesising high‐quality views of dynamic scenes via path tracing is prohibitively
expensive. Although caching offline‐quality global illumination in neural networks alleviates …
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 …
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
Traditional inverse rendering techniques are based on textured meshes, which naturally
adapts to modern graphics pipelines, but costly differentiable multi-bounce Monte Carlo …
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 …
posedness of the nonlinear problem. However, Incorporating a priori information in image …