5 citations · 11 across the 5 of their papers we have counts for
9 papers
Lighting, Reflectance and Geometry Estimation from 360 Panoramic Stereo
Junxuan Li, Hongdong Li, Yasuyuki Matsushita
We propose a method for estimating high-definition spatially-varying lighting, reflectance, and geometry of a scene from 360 stereo images. Our model takes advantage of t…
Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction
Takuma Doi, Fumio Okura, Toshiki Nagahara +2
This paper proposes a multi-view extension of instance segmentation without relying on texture or shape descriptor matching. Multi-view instance segmentation becomes challenging fo…
Deep Photometric Stereo for Non-Lambertian Surfaces
Guanying Chen, Kai Han, Boxin Shi +2
This paper addresses the problem of photometric stereo, in both calibrated and uncalibrated scenarios, for non-Lambertian surfaces based on deep learning. We first introduce a full…
Self-calibrating Deep Photometric Stereo Networks
Guanying Chen, Kai Han, Boxin Shi +2
This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes based on deep learning. Unlike previous approaches that heavily rely on assumptions of speci…
Shape-conditioned Image Generation by Learning Latent Appearance Representation from Unpaired Data
Yutaro Miyauchi, Yusuke Sugano, Yasuyuki Matsushita
Conditional image generation is effective for diverse tasks including training data synthesis for learning-based computer vision. However, despite the recent advances in generative…
Probabilistic Plant Modeling via Multi-View Image-to-Image Translation
Takahiro Isokane, Fumio Okura, Ayaka Ide +2
This paper describes a method for inferring three-dimensional (3D) plant branch structures that are hidden under leaves from multi-view observations. Unlike previous geometric appr…