태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Depth map super-resolution is the task of upsampling depth images.
<span style="color:grey; opacity: 0.6">( Image credit: A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map Super-Resolution )</span>
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
RGB-D-D is a large-scale dataset for depth map super-resolution (SR). It consists of real-world paired low-resolution (LR) and high-resolution (HR) depth maps. The paired LR and HR depth maps are captured from mobile phone and Lucid Helios respectively ranging from indoor scenes to challenging outdoor scenes.
Middlebury 2005 is a stereo dataset of indoor scenes. Source: https://vision.middlebury.edu/stereo/data/scenes2005/ Image Source: https://vision.middlebury.edu/stereo/data/scenes2005/
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.