activity
20242026
collaborators

6 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.GR2025

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…

cs.CV2024

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…