121 citations · 144 across the 8 of their papers we have counts for
9 papers
Multi-View Neural Surface Reconstruction with Structured Light
Chunyu Li, Taisuke Hashimoto, Eiichi Matsumoto +1
Three-dimensional (3D) object reconstruction based on differentiable rendering (DR) is an active research topic in computer vision. DR-based methods minimize the difference between…
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
Deniz Beker, Hiroharu Kato, Mihai Adrian Morariu +4
3D object detection from monocular images is an ill-posed problem due to the projective entanglement of depth and scale. To overcome this ambiguity, we present a novel self-supervi…
Differentiable Rendering: A Survey
Hiroharu Kato, Deniz Beker, Mihai Morariu +4
Deep neural networks (DNNs) have shown remarkable performance improvements on vision-related tasks such as object detection or image segmentation. Despite their success, they gener…
Self-supervised Learning of 3D Objects from Natural Images
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. Since this is a s…
Learning View Priors for Single-view 3D Reconstruction
Hiroharu Kato, Tatsuya Harada
There is some ambiguity in the 3D shape of an object when the number of observed views is small. Because of this ambiguity, although a 3D object reconstructor can be trained using…
Neural 3D Mesh Renderer
Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada
For modeling the 3D world behind 2D images, which 3D representation is most appropriate? A polygon mesh is a promising candidate for its compactness and geometric properties. Howev…
Melody Generation for Pop Music via Word Representation of Musical Properties
Andrew Shin, Leopold Crestel, Hiroharu Kato +6
Automatic melody generation for pop music has been a long-time aspiration for both AI researchers and musicians. However, learning to generate euphonious melody has turned out to b…
Visual Language Modeling on CNN Image Representations
Hiroharu Kato, Tatsuya Harada
Measuring the naturalness of images is important to generate realistic images or to detect unnatural regions in images. Additionally, a method to measure naturalness can be complem…
Image Reconstruction from Bag-of-Visual-Words
Hiroharu Kato, Tatsuya Harada
The objective of this work is to reconstruct an original image from Bag-of-Visual-Words (BoVW). Image reconstruction from features can be a means of identifying the characteristics…