Search Results for author: Hiroharu Kato

Found 9 papers, 2 papers with code

Multi-View Neural Surface Reconstruction with Structured Light

no code implementations22 Nov 2022 Chunyu Li, Taisuke Hashimoto, Eiichi Matsumoto, Hiroharu Kato

Three-dimensional (3D) object reconstruction based on differentiable rendering (DR) is an active research topic in computer vision.

3D Object Reconstruction Surface Reconstruction

Differentiable Rendering: A Survey

no code implementations22 Jun 2020 Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon

Deep neural networks (DNNs) have shown remarkable performance improvements on vision-related tasks such as object detection or image segmentation.

Image Segmentation object-detection +2

Self-supervised Learning of 3D Objects from Natural Images

no code implementations20 Nov 2019 Hiroharu Kato, Tatsuya Harada

We present a method to learn single-view reconstruction of the 3D shape, pose, and texture of objects from categorized natural images in a self-supervised manner.

3D Object Reconstruction Self-Supervised Learning

Learning View Priors for Single-view 3D Reconstruction

no code implementations CVPR 2019 Hiroharu Kato, Tatsuya Harada

The discriminator is trained to distinguish the reconstructed views of the observed viewpoints from those of the unobserved viewpoints.

3D Reconstruction Single-View 3D Reconstruction

Neural 3D Mesh Renderer

3 code implementations CVPR 2018 Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada

Using this renderer, we perform single-image 3D mesh reconstruction with silhouette image supervision and our system outperforms the existing voxel-based approach.

3D Object Reconstruction Style Transfer

Melody Generation for Pop Music via Word Representation of Musical Properties

1 code implementation31 Oct 2017 Andrew Shin, Leopold Crestel, Hiroharu Kato, Kuniaki Saito, Katsunori Ohnishi, Masataka Yamaguchi, Masahiro Nakawaki, Yoshitaka Ushiku, Tatsuya Harada

Automatic melody generation for pop music has been a long-time aspiration for both AI researchers and musicians.

Sound Multimedia Audio and Speech Processing

Visual Language Modeling on CNN Image Representations

no code implementations9 Nov 2015 Hiroharu Kato, Tatsuya Harada

Additionally, a method to measure naturalness can be complementary to Convolutional Neural Network (CNN) based features, which are known to be insensitive to the naturalness of images.

Language Modelling

Image Reconstruction from Bag-of-Visual-Words

no code implementations CVPR 2014 Hiroharu Kato, Tatsuya Harada

The objective of this work is to reconstruct an original image from Bag-of-Visual-Words (BoVW).

Image Reconstruction Retrieval

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