Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction

23 December 2019

Papers citing "Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction"

10 / 10 papers shown

Title
Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction Bo Sun Hao Kang Li Guan Haoxiang Li Philippos Mordohai Gang Hua 47 1 0 28 Jan 2025
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency Zixuan Huang Varun Jampani Anh Thai Yuanzhen Li Stefan Stojanov James M. Rehg 3DV 27 18 0 13 Apr 2023
A Review of Deep Learning-Powered Mesh Reconstruction Methods Zhiqin Chen 3DV 40 2 0 06 Mar 2023
Shape Completion with Points in the Shadow Bowen Zhang Xi Zhao He-Nan Wang Ruizhen Hu 33 5 0 17 Sep 2022
Simultaneous Object Reconstruction and Grasp Prediction using a Camera-centric Object Shell Representation Nikhil Chavan-Dafle S. Popovych Shubham Agrawal Daniel D. Lee Volkan Isler 19 9 0 14 Sep 2021
NeRD: Neural 3D Reflection Symmetry Detector Yichao Zhou Shichen Liu Yi Ma 21 25 0 19 Apr 2021
D $^2$ IM-Net: Learning Detail Disentangled Implicit Fields from Single Images Manyi Li Hao Zhang 3DV 28 45 0 11 Dec 2020
Deep Sketch-Based Modeling: Tips and Tricks Yue Zhong Yulia Gryaditskaya Honggang Zhang Yi-Zhe Song 17 34 0 12 Nov 2020
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry Yifan Xu Tianqi Fan Yi Yuan Gurprit Singh 3DPC 3DV 63 36 0 27 Jul 2020
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 171 1,940 0 24 Oct 2016