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Deep Implicit Templates for 3D Shape Representation
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
PatchNet: A Tool for Deep Patch Classification
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion (CVPR2020)
P20 - PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification
Generate Class-A Surface References with PatchAgent2D - BespokeAI
Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification
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Last Updated: September 21, 2026
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E. Tretschk, A. Tewari, V. Golyanik, M. Zollhoefer, C. Stoll, C. Theobalt ECCV 2020 Authors: Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas Funkhouser Description: The goal of this project is to ... NeurIPS 2022 Paper Video Paper: arxiv.org/abs/2206.04916 Project webpage: ... Abstract: There has recently been an explosion of research on learning This work was published at CVPR 2018 and got Best Poster Award at PAISS 2018. We introduce a method for learning to ... Authors: Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll Description: While many works focus on Code/Data and Paper: virtualhumans.mpi-inf.mpg.de/ifnets/ Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll
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