Task-Adaptive Grounded 3D-Programmers Using 2D VLMs

arXiv:2610.02021 · cs.CV, cs.AI · Submitted 2026-10-01 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Grounding — 23× in this paper · explained in 3 episodes
• Computer Vision and Pattern Recognition — 10× in this paper
• Accuracy — 9× in this paper · explained in 1 episode
• Benchmark — 8× in this paper · explained in 2 episodes
• Core — 8× in this paper · explained in 2 episodes
• Fidelity — 7× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Iterative Refinement — 6× in this paper · explained in 3 episodes
• Vision-language models — 6× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Clustering — 5× in this paper · explained in 2 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Canonical Coordinate Framing — 4× in this paper
• Consistency — 4× in this paper · explained in 3 episodes
• Instance Segmentation — 4× in this paper · explained in 3 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Universal Scene Description — 4× in this paper
• Abstraction — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Hallucination — 3× in this paper · explained in 4 episodes
• Task-Adaptive Feedback — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Affordance — 2× in this paper · explained in 1 episode
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Multimodal Reasoning — 2× in this paper · explained in 5 episodes
• Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Agentic AI — 1× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 1× in this paper
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
• SAM 3D: 3Dfy Anything in Images
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• GPT-4o System Card
• TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
• FlairGPT: Repurposing LLMs for Interior Designs
• SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

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