Research/Video Coding

[구현] FlowNet2 와 VTM4의 Residual 비교 실험

영스퀘어 2022. 2. 23. 17:27

[References]

[1] Ilg, Eddy, et al. "Flownet 2.0: Evolution of optical flow estimation with deep networks." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017.

[2] https://vcgit.hhi.fraunhofer.de/jvet-ahg-nnvc/VVCSoftware_VTM/-/tree/VTM-4.0

'Research > Video Coding' 카테고리의 다른 글

[구현] Block-based Translational, Affine, Perspective Motion Estimation을 직접 구현해보기 (4)  (0) 2021.04.09
[구현] Block-based Translational, Affine, Perspective Motion Estimation을 직접 구현해보기 (3)  (0) 2021.04.09
[구현] Block-based Translational, Affine, Perspective Motion Estimation을 직접 구현해보기 (2)  (0) 2021.04.09
[구현] Block-based Translational, Affine, Perspective Motion Estimation을 직접 구현해보기 (1)  (0) 2021.04.09
[분석] Affine Motion Compensation Prediction In VTM 2.0 Encoder  (0) 2021.04.08

'Research/Video Coding'의 다른글

  • 현재글[구현] FlowNet2 와 VTM4의 Residual 비교 실험

관련글

댓글

티스토리툴바