Video Deinterlacing
1개 벤치마크 · 논문 5편 · 이 태스크의 논문 보기 →
Benchmarks
MSU Deinterlacer Benchmark
Most implemented
Real-time Deep Video Deinterlacing
Papers
A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention Blocks
Despite the fact real-world video deinterlacing and demosaicing are well-suited to supervised learning from synthetically degraded data because the degradation models are known and fixed, learned video deinterlacing and …
DemosaickingDenoisingSuper-ResolutionVideo Deinterlacing+1Multi-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. This is despite deinterlacing is well-…
Super-ResolutionVideo DeinterlacingVideo RestorationMulti-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. Although the high-definition reconstruction technology for early videos h…
Video DeinterlacingVideo ReconstructionSpatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos
Video-based person re-identification aims to match pedestrians from video sequences across non-overlapping camera views. The key factor for video person re-identification is to effectively exploit both spatial and tempor…
Person Re-IdentificationVideo-Based Person Re-IdentificationVideo DeinterlacingReal-time Deep Video Deinterlacing
Interlacing is a widely used technique, for television broadcast and video recording, to double the perceived frame rate without increasing the bandwidth. But it presents annoying visual artifacts, such as flickering and…
GPUSuper-ResolutionTranslationVideo Deinterlacing