109 citations · 213 across the 9 of their papers we have counts for
9 papers
Voxel Deformation-Aware Neural Intersection Function
Chih-Chen Kao, Grzegorz Makowski, Shin Fujieda +1
We extend the Locally-Subdivided Neural Intersection Function (LSNIF) to support parameterized deformable and animated geometry. Our approach introduces a rest-space and deformed-s…
LSNIF: Locally-Subdivided Neural Intersection Function
Shin Fujieda, Chih-Chen Kao, Takahiro Harada
Neural representations have shown the potential to accelerate ray casting in a conventional ray-tracing-based rendering pipeline. We introduce a novel approach called Locally-Subdi…
Neural Texture Block Compression
Shin Fujieda, Takahiro Harada
Block compression is a widely used technique to compress textures in real-time graphics applications, offering a reduction in storage size. However, their storage efficiency is con…
Local Positional Encoding for Multi-Layer Perceptrons
Shin Fujieda, Atsushi Yoshimura, Takahiro Harada
A multi-layer perceptron (MLP) is a type of neural networks which has a long history of research and has been studied actively recently in computer vision and graphics fields. One…
Neural Intersection Function
Shin Fujieda, Chih-Chen Kao, Takahiro Harada
The ray casting operation in the Monte Carlo ray tracing algorithm usually adopts a bounding volume hierarchy (BVH) to accelerate the process of finding intersections to evaluate v…
Progressive Material Caching
Shin Fujieda, Takahiro Harada
The evaluation of material networks is a relatively resource-intensive process in the rendering pipeline. Modern production scenes can contain hundreds or thousands of complex mate…
Deep Adaptive Wavelet Network
Maria Ximena Bastidas Rodriguez, Adrien Gruson, Luisa F. Polania +4
Even though convolutional neural networks have become the method of choice in many fields of computer vision, they still lack interpretability and are usually designed manually in…
Wavelet Convolutional Neural Networks
Shin Fujieda, Kohei Takayama, Toshiya Hachisuka
Spatial and spectral approaches are two major approaches for image processing tasks such as image classification and object recognition. Among many such algorithms, convolutional n…
Wavelet Convolutional Neural Networks for Texture Classification
Shin Fujieda, Kohei Takayama, Toshiya Hachisuka
Texture classification is an important and challenging problem in many image processing applications. While convolutional neural networks (CNNs) achieved significant successes for…