Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion

arXiv:2412.11420 · cs.CV · Submitted 2024-12-16 · Read on arXiv

cs.CV

Submitted: 2024-12-16

Updated: 2026-09-16

Terminology

• Accuracy — 22× in this paper · explained in 1 episode
• Diffusion Model — 11× in this paper · explained in 8 episodes
• Aggregation — 10× in this paper · explained in 1 episode
• Ablation — 8× in this paper · explained in 1 episode
• AUC — 7× in this paper · explained in 2 episodes
• Alignment — 7× in this paper · explained in 1 episode
• Benchmark — 7× in this paper · explained in 2 episodes
• 6D Object Pose Estimation — 6× in this paper · explained in 1 episode
• Diffusion Models — 5× in this paper · explained in 6 episodes
• Dynamic Zoom In — 5× in this paper
• Point Clouds — 5× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Clustering — 4× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Embeddings — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Decoupling — 3× in this paper · explained in 2 episodes
• Mode Collapse — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Diffusion Process — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• International Conference on Robotics and Automation — 2× in this paper
• Loss Function — 2× in this paper · explained in 2 episodes
• Normalized Object Coordinate Space — 2× in this paper
• 9D Pose — 1× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Area Under the Curve — 1× in this paper
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• CVF International Conference on Computer Vision — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• D Intersection-Over-Union — 1× in this paper
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Mean Average Precision — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Scale Invariant Translation Estimation — 1× in this paper
• Score Function — 1× in this paper · explained in 4 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Variance Exploding — 1× in this paper

Sources

• 6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality
• Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

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