cov-chain-of-view-spatial-reasoning

Enable vision-language models to perform embodied question answering in 3D environments through active camera exploration. CoV uses training-free test-time reasoning to iteratively select relevant viewpoints and adjust camera angles until sufficient context is gathered, achieving 11-13% accuracy improvements across spatial reasoning benchmarks.

Independent GitHub snapshot · Automated classification · Original documentation governs