PolarVLM is the first VLM framework to integrate polarimetric physical parameters via dual-stream architecture and progressive training, delivering 25.4% gains over RGB baselines on reflection and transparency tasks with a new 75K-pair PolarVQA benchmark.
Polarization guided HDR reconstruction via pixel-wise depolarization.IEEE Transactions on Image Processing, 32:1774–1787
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
An exposure-decoupled modulo formulation and iteration-free diffusion-prior unwrapping enable 1000 FPS full-color HDR imaging on spike cameras while cutting bandwidth from 20 Gbps to 6 Gbps.
citing papers explorer
-
PolarVLM: Bridging the Semantic-Physical Gap in Vision-Language Models
PolarVLM is the first VLM framework to integrate polarimetric physical parameters via dual-stream architecture and progressive training, delivering 25.4% gains over RGB baselines on reflection and transparency tasks with a new 75K-pair PolarVQA benchmark.
-
High-Speed Full-Color HDR Imaging via Unwrapping Modulo-Encoded Spike Streams
An exposure-decoupled modulo formulation and iteration-free diffusion-prior unwrapping enable 1000 FPS full-color HDR imaging on spike cameras while cutting bandwidth from 20 Gbps to 6 Gbps.