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Cited by 16 publications
(9 citation statements)
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References 27 publications
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“…The first is to post-process the framewise colorization with a general temporal filter [21,22], but these works tend to wash out the colors. Another class of methods propagate the color scribbles to other frames by explicitly calculating the optical flow [1,2,23,24,25]. However, scribbles drawn from one specific image may not be suitable for other frames.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The first is to post-process the framewise colorization with a general temporal filter [21,22], but these works tend to wash out the colors. Another class of methods propagate the color scribbles to other frames by explicitly calculating the optical flow [1,2,23,24,25]. However, scribbles drawn from one specific image may not be suitable for other frames.…”
Section: Related Workmentioning
confidence: 99%
“…A naïve approach is to run a temporal filter on the per-frame colorization results during post-processing [21,22], which can alleviate the flickering but cause color fading and blurring. Another set of approaches propagate the color scribbles across frames using optical flow [1,2,23,24,25]. However, scribbles propagation may be not perfect due to flow error, which will induce some visual artifacts.…”
Section: Introductionmentioning
confidence: 99%
“…To address the ambiguity brought by sparse scribbles. Xu et al [12] proposed a novel approximation scheme requiring much less time and memory and Paul et al [51] proposed a 3D steerable pyramids approach for occlusion handling. Since the aforementioned methods require accurate scribbles for colorization, Zhang et al introduced an additional deep prior from a CNN to ensure plausible colorization when no given scribbles.…”
Section: Related Workmentioning
confidence: 99%
“…C OLOR transfer aims at transferring an expected color into a target image. Thus, the target image will present different color appearances similar to different expected colors [1], [2]. Color transfer is useful for computer vision, graphics and image processing/editing applications [3], [4], such as animation, aesthetic enhancement, image stitching, and color correction [5].…”
Section: Introductionmentioning
confidence: 99%