arXiv (All)
open access
GOLF: Global Observation with Local Focus for Calibration-Aware Stereo Interaction Field Estimation
We present GOLF, the first-place solution to the SHOW3D Interaction Field Estimation Challenge at HANDS@ECCV 2026. Given synchronized egocentric stereo views, the task is to predict a 3D vector from each of 21 hand joints to the closest point on the manipulated object. GOLF combines dense global con
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- DAISY: A Fast Descriptor for Dense Wide Baseline Stereo and Multiview Reconstruction#1100346
- DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis#652267
- DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis#650814
- Dense Dynamic Scene Reconstruction and Camera Pose Estimation from Multi-View Videos#1056349
- Here the World in Stereo: Learning Dynamic Spatial Correspondence for Immersive Joint Video-Audio Generation#1143349
Record · ID 1011201
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive