PhysVista: Benchmarking Physical Intelligence in VLMs via a Perception-Reasoning-Assessment Loop

arXiv:2610.00559 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/Helen1p/PhysVista

Terminology

• Benchmark — 49× in this paper · explained in 2 episodes
• Causal Reasoning — 19× in this paper · explained in 2 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Benchmarking — 7× in this paper · explained in 3 episodes
• Verification — 7× in this paper · explained in 2 episodes
• Temporal Reasoning — 5× in this paper · explained in 2 episodes
• World Model — 5× in this paper · explained in 7 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Causal Inference — 1× in this paper · explained in 4 episodes
• Causal Understanding — 1× in this paper · explained in 2 episodes
• Conservation Laws — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Physical Constraints — 1× in this paper · explained in 7 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes

Sources

• Phi-4 Technical Report
• ReCamMaster: Camera-Controlled Generative Rendering from A Single Video
• Qwen3-VL Technical Report
• VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation
• CoPhy: Counterfactual Learning of Physical Dynamics
• IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments
• PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
• CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models
• "PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models
• PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models
• A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs
• 4DWorldBench: A Comprehensive Evaluation Framework for 3D/4D World Generation Models
• PhysicsMind: Sim and Real Mechanics Benchmarking for Physical Reasoning and Prediction in Foundational VLMs and World Models
• Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation
• IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
• WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models
• PhyX: Does Your Model Have the "Wits" for Physical Reasoning?
• Kimi K2.5: Visual Agentic Intelligence

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