D $^2$ IM-Net: Learning Detail Disentangled Implicit Fields from Single Images

11 December 2020

Papers citing "D$^2$IM-Net: Learning Detail Disentangled Implicit Fields from Single Images"

10 / 10 papers shown

Title
Pix2Repair: Implicit Shape Restoration from Images Xinchao Song N. Lamb Sean Banerjee N. Banerjee 3DV 26 0 0 29 May 2023
Analysis of Sampling Strategies for Implicit 3D Reconstruction Qiang Liu Xi Yang 3DPC 27 0 0 08 Apr 2023
A Review of Deep Learning-Powered Mesh Reconstruction Methods Zhiqin Chen 3DV 37 2 0 06 Mar 2023
Neural Wavelet-domain Diffusion for 3D Shape Generation Ka-Hei Hui Ruihui Li Jingyu Hu Chi-Wing Fu DiffM 56 123 0 19 Sep 2022
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation Bo Sun Vladimir G. Kim Noam Aigerman Qi-Xing Huang S. Chaudhuri 3DPC 24 8 0 24 Jul 2022
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details Yiqun Wang Ivan Skorokhodov Peter Wonka 19 126 0 15 Jun 2022
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
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
Neural Sparse Voxel Fields Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt 197 1,242 0 22 Jul 2020
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 240 558 0 19 Mar 2020