Categories
ボタンを押すと、研究の絞り込みが行えます
graphics
geometry
deep learning
出典:
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).
graphics
rendering
出典:
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.
applications
NDT
出典:
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.
applications
NDT
出典:
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).
graphics
geometry
applications
出典:
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).
graphics
geometry
deep learning
出典:
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.
applications
NDT
出典:
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).
applications
NDT
出典:
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).
graphics
rendering
deep learning
出典:
Yuta Tsuji, Tatsuya Yatagawa, Shigeo Morishima, "Light Source Selection in Primary-Sample-Space Neural Photon Sampling," SIGGRAPH Asia 2021 Poster.
graphics
geometry
deep learning
出典:
Kiichi Itoh, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation," British Machine Vision Conference 2021.
graphics
rendering
出典:
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).
graphics
geometry
deep learning
出典:
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.
graphics
rendering
出典:
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).
graphics
rendering
出典:
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).
graphics
rendering
出典:
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).
graphics
rendering
出典:
Tatsuya Yatagawa, Hideki Todo, Yasushi Yamaguchi, Shigeo Morishima, "Data Compression for Measured Heterogeneous Subsurface Scattering via Scattering Profile Blending," The Visual Computer (2020).
image & video
deep learning
出典:
Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima, "FSNet: An Identity-Aware Generative Model for Image-based Face Swapping," Asian Conference on Computer Vision 2018.
image & video
deep learning
出典:
Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima, "RSGAN: face swapping and editing using face and hair representation in latent spaces," SIGGRAPH 2018 Poster.
graphics
rendering
出典:
Tomoya Yamaguchi, Tatsuya Yatagawa, Shigeo Morishima, "Efficient Metropolis Path Sampling for Material Editing and Re-rendering," Pacific Graphics 2018 (short paper).
image & video
出典:
Tatsuya Yatagawa, Yasushi Yamaguchi, "Sparse Pixel Sampling for Appearance Edit Propagation," The Visual Computer (Computer Graphics International 2015).
image & video
出典:
Tatsuya Yatagawa, Yasushi Yamaguchi, "Temporally-Coherent Video Editing using an Edit Propagation Matrix," Computers & Graphics (2014).
image & video
出典:
Tatsuya Yatagawa, Yasushi Yamaguchi, "Template-based dynamic-background removal for fast video completion," Lecture Notes in Computer Science 2012 (Int'l Symposium of Visual Computing).