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World Models & Spatial AI

From SLAM maps to learned world representations

Key Concepts

World Models

System Author/Year Key Concepts
GAIA-1 Wayve 2023 Driving World Model, action-conditioned future scene generation
Sora / DiT OpenAI 2024 Diffusion Transformer, spacetime patches, emergent 3D understanding
NVIDIA Cosmos NVIDIA 2025 World Foundation Model platform for Physical AI, synthetic data for AV/robots
World Labs / Marble Fei-Fei Li 2025 Generative 3D worlds (persistent Gaussian-splat scenes) from image/video/text prompts
WorldVLA Cen (Alibaba) 2025 Autoregressive action world model, learns physics for action generation
SceneDINO Jevtić 2025 Feed-forward unsupervised semantic scene completion

Generative 3D

System Author/Year Key Concepts
DreamFusion Poole 2023 Text-to-3D via Score Distillation Sampling (SDS) + NeRF

Vision-Language Models (VLM)

System Author/Year Key Concepts
CLIP Radford (OpenAI) 2021 Contrastive image-text pretraining, 400M pairs, zero-shot
SigLIP Zhai (Google) 2023 Sigmoid loss CLIP, more efficient, better at small model sizes
BLIP-2 Li (Salesforce) 2023 Q-Former bridges frozen LLM + image encoder
LLaVA Liu 2023 LLaMA + vision, conversational VLM

Vision-Language-Action Models (VLA)

System Author/Year Key Concepts
RT-2 Brohan (DeepMind) 2023 Robot actions as text tokens, emergent generalization
OpenVLA Kim 2024 Open-source VLA, SigLIP + Llama 7B + Action Head
NaVILA Cheng 2024 Legged/wheeled-robot vision-language-action model for navigation

Resources

Resource Author/Year Key Concepts
Awesome-Transformer-based-SLAM KwanWaiPang Curated GitHub list of Transformer-based SLAM methods