PointZero: 3D Point Track Completion for Learning Transferable 3D Dynamics

arXiv:2609.19142 · cs.CV, cs.RO · Submitted 2026-09-16 · Read on arXiv

cs.CV, cs.RO

Submitted: 2026-09-16

Updated: 2026-10-08

Terminology

• Transformer — 16× in this paper · explained in 2 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Flow Matching — 6× in this paper · explained in 7 episodes
• World Model — 6× in this paper · explained in 7 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Action-Conditioned Dynamics — 4× in this paper · explained in 1 episode
• Adam — 4× in this paper · explained in 2 episodes
• Transformer Architecture — 4× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Chamfer Distance — 2× in this paper
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Graph-Based Neural Dynamics — 2× in this paper
• Latent Space — 2× in this paper · explained in 7 episodes
• Mean Squared Error — 2× in this paper
• Particle-Grid Neural Dynamics — 2× in this paper
• Point Clouds — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Zero-Shot Generalization — 2× in this paper · explained in 5 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Embeddings — 1× in this paper · explained in 2 episodes
• Finite Element Method — 1× in this paper
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Mean Distance Error — 1× in this paper
• Optical Flow — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sim-to-Real Transfer — 1× in this paper · explained in 2 episodes
• System Identification — 1× in this paper · explained in 3 episodes

Sources

• 3PoinTr: From Human Videos to Robot Policies with 3D Point-Track Plans
• ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation
• Any4D: Unified Feed-Forward Metric 4D Reconstruction
• PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
• Modeling the Real World with High-Density Visual Particle Dynamics
• Flex-$\pi$: A Multi-Stream World-Action Model with Compute Flexibility
• Flow Matching in Latent Space

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