Video Deinterlacing
2 papers with code • 1 benchmarks • 1 datasets
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Benchmarks
These leaderboards are used to track progress in Video Deinterlacing
| Trend | Dataset | Best Model | Paper | Code | Compare |
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MSU Deinterlacer Benchmark
Latest papers with no code
Multi-Field De-interlacing using Deformable Convolution Residual Blocks and Self-Attention
Although deep learning has made significant impact on image/video restoration and super-resolution, learned deinterlacing has so far received less attention in academia or industry.
Multi-frame Joint Enhancement for Early Interlaced Videos
Early interlaced videos usually contain multiple and interlacing and complex compression artifacts, which significantly reduce the visual quality.
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos
The key factor for video person re-identification is to effectively exploit both spatial and temporal clues from video sequences.
