A Vision Language Model for Generating Procedural Plant Architecture Representations from Simulated Images

Documenti analoghi

• Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context Learning
  di: Yun, Heesup, et al.
  Pubblicazione: (2026)
• AgRowStitch: A High-fidelity Image Stitching Pipeline for Ground-based Agricultural Images
  di: Uyehara, Isaac Kazuo, et al.
  Pubblicazione: (2025)
• Does Your VFM Speak Plant? The Botanical Grammar of Vision Foundation Models for Object Detection
  di: Lundqvist, Lars, et al.
  Pubblicazione: (2026)
• AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification
  di: Ranario, Earl, et al.
  Pubblicazione: (2025)
• Enabling Plant Phenotyping in Weedy Environments using Multi-Modal Imagery via Synthetic and Generated Training Data
  di: Ranario, Earl, et al.
  Pubblicazione: (2025)