Spatio-Temporal Difference Guided Motion Deblurring with the Complementary Vision Sensor dataset contains synchronized RGB frames and high-frame-rate spatial and temporal difference data. The dataset was created by author mypThu and is hosted on Hugging Face. Its last recorded update was on 2026-04-17.
Use Cases
- Train motion deblurring models based on synchronized RGB and difference data.
- Develop slow-motion video generation algorithms based on high-frame-rate temporal difference cues.
- Research multimodal video processing based on complementary spatial edge and motion data.
- Benchmark deblurring performance based on the Tianmouc Complementary Vision Sensor output.
Strengths
- Dataset is associated with a published paper on spatio-temporal difference guided motion deblurring.
- Data includes synchronized RGB frames and high-frame-rate spatial and temporal difference streams.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last updated 2026-04-17 14:45:24; freshness should be verified.
Provenance
- Source
- mypThu
- Collection Method
- Captured by the Tianmouc Complementary Vision Sensor (CVS).
- Freshness
- 2026-04-17