Towards Spatial Supersensing in Video

Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts

Simulated Instruction-Tuning for Spatial Video Understanding

Simulated Instruction Tuning Dataset for Spatial Video Understanding, with Full 3D and Frame-Level GT Annotations

10k In-Distribution VSI-Bench Training Examples

Large-Scale Instruction Tuning Dataset for Spatial Sensing

Two-part Benchmark for Spatial Supersensing, including VSI-SUPER Recall (VSR) and VSI-SUPER Count (VSC)

Our Spatially-grounded Multimodal Large Language Models

Train and Evaluation Toolkits for Cambrian-S Models

How Multimodal Large Language Models See, Remember and Recall Spaces

A Fully Open, Vision-Centric Exploration of Multimodal LLMs

10M Multimodal Instruction-Tuning Data for Cambrian-1 Models

Cambrian Vision-Centric Benchmark (CV-Bench) for Multimodal LLMs

A Fully Open, Vision-Centric Exploration of Multimodal LLMs