【作者单位】a College of Computer Science, Sichuan University, Chengdu, China; b School of Information Science and Technology, Tibet University, Lhasa, China
【年份】2021
【卷号】Vol.12622
【页码】3-19
【ISSN】0302-9743
【摘要】 Existing unsupervised 3D object reconstruction methods can not work well if the shape of objects varies substantially across images or if the images have distracting background. This paper proposes a novel learning framework for reconstructing 3D obj...
