T2Net : synthetic-to-realistic translation for solving single-image depth estimation tasks

• المؤلفون الرئيسيون: Zheng, Chuanxia, Cham, Tat-Jen, Cai, Jianfei
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Single-image Depth Estimation; Unpaired Images
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/138497

Current methods for single-image depth estimation use training datasets with real image-depth pairs or stereo pairs, which are not easy to acquire. We propose a framework, trained on synthetic image-depth pairs and unpaired real images, that comprises an image translation network for enhancing reali...