SpaceDG is the first large-scale benchmark dataset (~1M QA pairs) simulating nine visual degradations in 3DGS-rendered scenes to measure and improve spatial intelligence robustness in MLLMs.
Deep multi-scale convolutional neural network for dynamic scene deblurring
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
STGDNet uses synchronized spatial and temporal difference data from the Tianmouc sensor within a recurrent fusion architecture to deblur RGB frames more effectively than prior RGB-only or event-camera methods.
citing papers explorer
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SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation
SpaceDG is the first large-scale benchmark dataset (~1M QA pairs) simulating nine visual degradations in 3DGS-rendered scenes to measure and improve spatial intelligence robustness in MLLMs.
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Spatio-Temporal Difference Guided Motion Deblurring with the Complementary Vision Sensor
STGDNet uses synchronized spatial and temporal difference data from the Tianmouc sensor within a recurrent fusion architecture to deblur RGB frames more effectively than prior RGB-only or event-camera methods.