Hitotsubashi University
School of Social Data Science
Graphics and Vision Labratory

Research

Categories

You can extract the studies with categories using the following buttons.

Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks

graphics

geometry

deep learning

Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks

Reference: Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks," IEEE Transactions on Visualization and Computer Graphics (2024).

Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising

graphics

rendering

Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising

Reference: Yuta Tsuji, Tatsuya Yatagawa, Hiroyuki Kubo, Shigeo Morishima, "Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising," IEEE International Conference on Image Processing 2023.

End-to-End Deep Learning for Reconstructing Segmented 3D CT Image from Multi-Energy X-ray Projections

applications

NDT

End-to-End Deep Learning for Reconstructing Segmented 3D CT Image from Multi-Energy X-ray Projections

Reference: Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake, Toru Aoki, Jun Hotta, "End-to-End Deep Learning for Reconstructing Segmented 3D CT Image from Multi-Energy X-ray Projections," IEEE/CVF Conference on Computer Vision Workshop 2023.

Sparse-View Cone-Beam CT Reconstruction by Bar-by-Bar Neural FDK Algorithm

applications

NDT

Reference: Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Sparse-View Cone-Beam CT Reconstruction by Bar-by-Bar Neural FDK Algorithm," Nondestructive Testing and Evaluation (2023).

Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform

graphics

geometry

applications

Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform

Reference: Yuta Yamauchi, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform," Computational Visual Media (2023).

Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks

graphics

geometry

deep learning

Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks

Reference: Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks," European Conference on Computer Vision 2022.

Degree of local symmetry for geometry-aware selective part visualization on CT volumes

applications

NDT

Degree of local symmetry for geometry-aware selective part visualization on CT volumes

Reference: Nobumichi Yasunami, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Degree of local symmetry for geometry-aware selective part visualization on CT volumes," Nondestructive Testing and Evaluation (2022).

Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites

applications

NDT

Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites

Reference: Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites," Journal of Nondestructive Evaluation (2022).

Light Source Selection in Primary-Sample-Space Neural Photon Sampling

graphics

rendering

deep learning

Reference: Yuta Tsuji, Tatsuya Yatagawa, Shigeo Morishima, "Light Source Selection in Primary-Sample-Space Neural Photon Sampling," SIGGRAPH Asia 2021 Poster.

Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation

graphics

geometry

deep learning

Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation

Reference: Kiichi Itoh, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation," British Machine Vision Conference 2021.

Real-time Shading with Free-form Planar Area Lights using Linearly Transformed Cosines

graphics

rendering

Real-time Shading with Free-form Planar Area Lights using Linearly Transformed Cosines

Reference: Takahiro Kuge, Tatsuya Yatagawa, Shigeo Morishima, "Real-time Shading with Free-form Planar Area Lights using Linearly Transformed Cosines," Journal of Computer Graphics Techniques (2022).

Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks

graphics

geometry

deep learning

Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks

Reference: Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks," CVPR 2021, Workshop on Learning to Generate 3D Shapes and Scenes.

LinSSS: Linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering

graphics

rendering

Reference: Tatsuya Yatagawa, Yasushi Yamaguchi, Shigeo Morishima, "LinSSS: Linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering," The Visual Computer (Computer Graphics International 2020).

Real-time Rendering of Layered Materials with Anisotropic Normal Distributions

graphics

rendering

Reference: Tomoya Yamaguchi, Tatsuya Yatagawa, Yusuke Tokuyoshi, Shigeo Morishima, "Real-time Rendering of Layered Materials with Anisotropic Normal Distributions," Computational Visual Media (invited from SIGGRAPH Asia 2019, Technical Brief).

Real-time Indirect Illumination of Emissive Inhomogeneous Volumes using Layered Polygonal Area Lights

graphics

rendering

Real-time Indirect Illumination of Emissive Inhomogeneous Volumes using Layered Polygonal Area Lights

Reference: Takahiro Kuge, Tatsuya Yatagawa, Shigeo Morishima, "Real-time Indirect Illumination of Emissive Inhomogeneous Volumes using Layered Polygonal Area Lights," Computer Graphics Forum (Pacific Graphics 2019).

Data Compression for Measured Heterogeneous Subsurface Scattering via Scattering Profile Blending

graphics

rendering

Reference: Tatsuya Yatagawa, Hideki Todo, Yasushi Yamaguchi, Shigeo Morishima, "Data Compression for Measured Heterogeneous Subsurface Scattering via Scattering Profile Blending," The Visual Computer (2020).

FSNet: An Identity-Aware Generative Model for Image-based Face Swapping

image & video

deep learning

Reference: Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima, "FSNet: An Identity-Aware Generative Model for Image-based Face Swapping," Asian Conference on Computer Vision 2018.

RSGAN: face swapping and editing using face and hair representation in latent spaces

image & video

deep learning

RSGAN: face swapping and editing using face and hair representation in latent spaces

Reference: Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima, "RSGAN: face swapping and editing using face and hair representation in latent spaces," SIGGRAPH 2018 Poster.

Efficient Metropolis Path Sampling for Material Editing and Re-rendering

graphics

rendering

Reference: Tomoya Yamaguchi, Tatsuya Yatagawa, Shigeo Morishima, "Efficient Metropolis Path Sampling for Material Editing and Re-rendering," Pacific Graphics 2018 (short paper).

Hitotsubashi University
School of Social Data Science
Graphics and Vision Labratory

Research

Categories

Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks

Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising

End-to-End Deep Learning for Reconstructing Segmented 3D CT Image from Multi-Energy X-ray Projections

Sparse-View Cone-Beam CT Reconstruction by Bar-by-Bar Neural FDK Algorithm

Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform

Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks

Degree of local symmetry for geometry-aware selective part visualization on CT volumes

Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites

Light Source Selection in Primary-Sample-Space Neural Photon Sampling

Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation

Real-time Shading with Free-form Planar Area Lights using Linearly Transformed Cosines

Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks

LinSSS: Linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering

Real-time Rendering of Layered Materials with Anisotropic Normal Distributions

Real-time Indirect Illumination of Emissive Inhomogeneous Volumes using Layered Polygonal Area Lights

Data Compression for Measured Heterogeneous Subsurface Scattering via Scattering Profile Blending

FSNet: An Identity-Aware Generative Model for Image-based Face Swapping

RSGAN: face swapping and editing using face and hair representation in latent spaces

Efficient Metropolis Path Sampling for Material Editing and Re-rendering

Sparse Pixel Sampling for Appearance Edit Propagation

Temporally-Coherent Video Editing using an Edit Propagation Matrix

Template-based dynamic-background removal for fast video completion