此文发于CVPR2019, oral, Best Paper Finalist。
题目：Neural RGB→D Sensing: Depth and Uncertainty from a Video Camera
作者：Chao Liu1,2∗ Jinwei Gu1,3∗ Kihwan Kim1 Srinivasa G. Narasimhan2 Jan Kautz1
1NVIDIA 2Carnegie Mellon University 3SenseTime
Extreme view synthesis, Section 3: “Rather than using a single depth estimate for a given pixel, our method accounts for the depth’s probability distribution, which is similar in spirit to the work of Liu et al.”
背景
之前引出的论文
引出新的要读的论文
Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G Narasimhan, and Jan Kautz. Neural RGB ! D sensing: Depth and uncertainty from a video camera. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Local light field fusion: Practical view synthesis with prescriptive sampling guidelines. In ACM Transactions on Graphics (SIGGRAPH), 2019
DeepMVS: Learning multi-view stereopsis. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
High-resolution image synthesis and semantic manipulation with conditional GANs. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 8798–8807, 2018.
Structure-from-motion revisited. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Soft 3D reconstruction for view synthesis. In ACM Transactions on Graphics (SIGGRAPH), 2017.
DeepStereo: Learning to predict new views from the world’s imagery. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
近期评论