2 citations · 3 across the 17 of their papers we have counts for
19 papers
PlantRig - From Bones to Branches: Adaptation of Autoregressive Rigging Models for Plant Skeletal Reconstruction
Nathan Hu, Yang Yang, Fumio Okura
Autoregressive rigging models such as UniRig and SkinTokens perform well on articulated characters, but their ability to generalize to plant structures remains largely unexplored,…
PlantPose: Universal Plant Skeleton Estimation via Tree-constrained Graph Generation
Xinpeng Liu, Hiroaki Santo, Yosuke Toda +1
Accurate estimation of plant skeletal structures (e.g., branching structures) from images is essential for smart agriculture and plant science. Unlike human skeletons with fixed to…
Unsupervised 3D Human Pose Estimation via Conditional Multi-view Ancestral Sampling
Ryohei Goto, Takuya Fujihashi, Shunsuke Saruwatari +1
We propose a method of estimating a 3D human pose from a single view without 3D supervision. The key to our method is to leverage the 2D diffusion priors of motion diffusion models…
DP-SfM: Dual-Pixel Structure-from-Motion without Scale Ambiguity
Lilika Makabe, Kohei Ashida, Hiroaki Santo +2
Multi-view 3D reconstruction, namely, structure-from-motion followed by multi-view stereo, is a fundamental component of 3D computer vision. In general, multi-view 3D reconstructio…
NRGS: Neural Regularization for Robust 3D Semantic Gaussian Splatting
Zaiyan Yang, Xinpeng Liu, Heng Guo +3
We propose a neural regularization method that refines the noisy 3D semantic field produced by lifting multi-view inconsistent 2D features, in order to obtain an accurate and robus…
BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment
Risa Shinoda, Kaede Shiohara, Nakamasa Inoue +3
Understanding animal species from multimodal data poses an emerging challenge at the intersection of computer vision and ecology. While recent biological models, such as BioCLIP, h…
AnimalCLAP: Taxonomy-Aware Language-Audio Pretraining for Species Recognition and Trait Inference
Risa Shinoda, Kaede Shiohara, Nakamasa Inoue +2
Animal vocalizations provide crucial insights for wildlife assessment, particularly in complex environments such as forests, aiding species identification and ecological monitoring…
High-fidelity Multi-view Normal Integration with Scale-encoded Neural Surface Representation
Tongyu Yang, Heng Guo, Yasuyuki Matsushita +3
Previous multi-view normal integration methods typically sample a single ray per pixel, without considering the spatial area covered by each pixel, which varies with camera intrins…
Near-light Photometric Stereo with Symmetric Lights
Lilika Makabe, Heng Guo, Hiroaki Santo +2
This paper describes a linear solution method for near-light photometric stereo by exploiting symmetric light source arrangements. Unlike conventional non-convex optimization appro…
Gaussian Mesh Renderer for Lightweight Differentiable Rendering
Xinpeng Liu, Fumio Okura
3D Gaussian Splatting (3DGS) has enabled high-fidelity virtualization with fast rendering and optimization for novel view synthesis. On the other hand, triangle mesh models still r…
Interaction-via-Actions: Cattle Interaction Detection with Joint Learning of Action-Interaction Latent Space
Ren Nakagawa, Yang Yang, Risa Shinoda +4
This paper introduces a method and application for automatically detecting behavioral interactions between grazing cattle from a single image, which is essential for smart livestoc…
GaussianPlant: Structure-aligned Gaussian Splatting for 3D Reconstruction of Plants
Yang Yang, Risa Shinoda, Hiroaki Santo +1
We present a method for jointly recovering the appearance and internal structure of botanical plants from multi-view images based on 3D Gaussian Splatting (3DGS). While 3DGS exhibi…
Zero-shot Hierarchical Plant Segmentation via Foundation Segmentation Models and Text-to-image Attention
Junhao Xing, Ryohei Miyakawa, Yang Yang +5
Foundation segmentation models achieve reasonable leaf instance extraction from top-view crop images without training (i.e., zero-shot). However, segmenting entire plant individual…
NeuraLeaf: Neural Parametric Leaf Models with Shape and Deformation Disentanglement
Yang Yang, Dongni Mao, Hiroaki Santo +2
We develop a neural parametric model for 3D leaves for plant modeling and reconstruction that are essential for agriculture and computer graphics. While neural parametric models ar…
Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating
Lilika Makabe, Hiroaki Santo, Fumio Okura +2
This paper introduces a practical and accurate calibration method for camera spectral sensitivity using a diffraction grating. Accurate calibration of camera spectral sensitivity i…
HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting
Xinpeng Liu, Zeyi Huang, Fumio Okura +1
Novel view synthesis has demonstrated impressive progress recently, with 3D Gaussian splatting (3DGS) offering efficient training time and photorealistic real-time rendering. Howev…
TreeFormer: Single-view Plant Skeleton Estimation via Tree-constrained Graph Generation
Xinpeng Liu, Hiroaki Santo, Yosuke Toda +1
Accurate estimation of plant skeletal structure (e.g., branching structure) from images is essential for smart agriculture and plant science. Unlike human skeletons with fixed topo…
NeRSP: Neural 3D Reconstruction for Reflective Objects with Sparse Polarized Images
Yufei Han, Heng Guo, Koki Fukai +5
We present NeRSP, a Neural 3D reconstruction technique for Reflective surfaces with Sparse Polarized images. Reflective surface reconstruction is extremely challenging as specular…
Multi-View Azimuth Stereo via Tangent Space Consistency
Xu Cao, Hiroaki Santo, Fumio Okura +1
We present a method for 3D reconstruction only using calibrated multi-view surface azimuth maps. Our method, multi-view azimuth stereo, is effective for textureless or specular sur…