This study introduces a training-free high quality neural matte extraction approach that specifically targets the assumptions of visual effects production.
Author: Sharif Elcott, equal contribution of Google Japan ; J.P. Lewis, equal contribution of Google Research USA ; Nori Kanazawa, Google Research USA ; Christoph Bregler, Google Research USA . Table of Links Abstract and Introduction Background and Related Work Method Results and Failure Cases Limitations and Conclusion, Acknowledgements and References 5 LIMITATIONS AND CONCLUSION We have introduced a matte extraction approach using the deep image prior.
Trans. Trans. Circuits Syst. Video Technol. . This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Author: Sharif Elcott, equal contribution of Google Japan ; J.P. Lewis, equal contribution of Google Research USA ; Nori Kanazawa, Google Research USA ; Christoph Bregler, Google Research USA . Author: Author: Sharif Elcott, equal contribution of Google Japan ; J.P.
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