High-resolution open-vocabulary object 6D pose estimation
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Abstract (arXiv)
The generalisation to unseen objects in the 6D pose estimation task is very challenging. While Vision-Language Models (VLMs) enable using natural language descriptions to support 6D pose estimation of unseen objects, these solutions underperform compared to model-based methods. In this work we present Horyon, an open-vocabulary VLM-based architecture that addresses relative pose estimation between two scenes of an unseen object, described by a textual prompt only. We use the textual prompt to identify the unseen object in the scenes and then obtain high-resolution multi-scale features. These features are used to extract cross-scene matches for registration. We evaluate our model on a benchmark with a large variety of unseen objects across four datasets, namely REAL275, Toyota-Light, Linemod, and YCB-Video. Our method achieves state-of-the-art performance on all datasets, outperforming by 12.6 in Average Recall the previous best-performing approach.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 51 of its 73 references that are in the map. First posted on arXiv 24 Jun 2024.
Builds on
51 of 73 references.
References · 51
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38 more
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50 most cited of 51 All 51 (JSON)
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Citing papers per year: 2025: 5; 2026: 5.
10 papers.
- 2025One2Any: One-Reference 6D Pose Estimation for Any Objectcited by 17
- 2025GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimationcited by 16
- 2025Accurate and efficient zero-shot 6D pose estimation with frozen foundation modelscited by 13
- 2025ConceptPose: Training-Free Zero-Shot Object Pose Estimation using Concept Vectorscited by 5
- 2025Parameter-Efficient CLIP Adaptation for 3D Understanding via Unified Tokenizationcited by 1
- 2026Learning Fine-Grained Correspondence with Cross-Perspective Perception for Open-Vocabulary 6D Object Pose Estimationcited by 0
- 2026Object Pose Transformer: Unifying Unseen Object Pose Estimationcited by 0
- 2026Learning Cross-View Semantic Priors for Single-Reference Unseen Object Pose Estimationcited by 0
- 2026UniPose9D: Universal Category-Agnostic Object Pose Estimationcited by 0
- 2026Prior-free relative 6D pose estimation of multiple object instancescited by 0
- 2026Prior-free relative 6D pose estimation of multiple object instances8 Sep 2026
- 2026UniPose9D: Universal Category-Agnostic Object Pose Estimation10 Jul 2026
- 2026Learning Cross-View Semantic Priors for Single-Reference Unseen Object Pose Estimation20 Jun 2026
- 2026Object Pose Transformer: Unifying Unseen Object Pose Estimation24 Mar 2026
- 2026Learning Fine-Grained Correspondence with Cross-Perspective Perception for Open-Vocabulary 6D Object Pose Estimation20 Jan 2026
- 2025ConceptPose: Training-Free Zero-Shot Object Pose Estimation using Concept Vectors9 Dec 2025
- 2025Accurate and efficient zero-shot 6D pose estimation with frozen foundation models11 Jun 2025
- 2025Parameter-Efficient CLIP Adaptation for 3D Understanding via Unified Tokenization24 May 2025
- 2025One2Any: One-Reference 6D Pose Estimation for Any Object7 May 2025
- 2025GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation6 Feb 2025
Similar, not cited
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