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인턴일지 2020. 5. 8. Single-Image Depth Perception in the Wild 이 논문은 hourglass network 구조를 파악하기 위해 보았고, 자세히 분석하지는 않았습니다. Single-Image Depth Perception in the Wild Weifeng Chen, Zhao Fu, Dawei Yang, Jia Deng [Submitted on 13 Apr 2016 (v1), last revised 6 Jan 2017 (this version, v2)] https://arxiv.org/abs/1604.03901 Single-Image Depth Perception in the Wild This paper studies single-image depth perception in the wild, i.e., recovering depth from a single imag..
인턴일지 2020. 5. 8. Revisiting Single Image Depth Estimation 논문 정리 Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani (Submitted on 23 Mar 2018 (v1), last revised 22 Sep 2018 (this version, v2)) https://arxiv.org/abs/1803.08673 Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries This paper considers the probl..
인턴일지 2020. 4. 27. Revisiting Single Image Depth Estimation: 실시간 Depth map Depth map, 논문 & 네트워크 설명은 추후에 포스팅하겠습니다. 이 모델은 pytorch를 이용하여 제작되었고, 이미지 처리를 동영상처리로 바꾼 예제입니다. https://github.com/Seojiyoung/Depth-Map-Estimation Seojiyoung/Depth-Map-Estimation Revisiting Single Image Depth Estimation: 실시간 Depth map 구현 - Seojiyoung/Depth-Map-Estimation github.com 결과물은 다음과 같습니다.

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