Histogram-guided Video Colorization Structure with Spatial-Temporal Connection
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Abstract (arXiv)
Video colorization, aiming at obtaining colorful and plausible results from grayish frames, has aroused a lot of interest recently. Nevertheless, how to maintain temporal consistency while keeping the quality of colorized results remains challenging. To tackle the above problems, we present a Histogram-guided Video Colorization with Spatial-Temporal connection structure (named ST-HVC). To fully exploit the chroma and motion information, the joint flow and histogram module is tailored to integrate the histogram and flow features. To manage the blurred and artifact, we design a combination scheme attending to temporal detail and flow feature combination. We further recombine the histogram, flow and sharpness features via a U-shape network. Extensive comparisons are conducted with several state-of-the-art image and video-based methods, demonstrating that the developed method achieves excellent performance both quantitatively and qualitatively in two video datasets.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 27 of its 34 references that are in the map. First posted on arXiv 9 Aug 2023.
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References · 27
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15 more
- 2020Instance-aware Image Colorizationcited by 76
- 2020Blind Video Temporal Consistency via Deep Video Priorcited by 76
- 2019Deep Exemplar-based Video Colorizationcited by 75
- 2020HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histogramscited by 64
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- 2021Towards Vivid and Diverse Image Colorization with Generative Color Priorcited by 55
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- 2021Triple-level Model Inferred Collaborative Network Architecture for Video Derainingcited by 9
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