Local Deep Implicit Functions For 3d Shape Information Guide

  1. About to Local Deep Implicit Functions For 3d Shape
  2. Main Features
  3. History
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  5. Future Outlook

About to Local Deep Implicit Functions For 3d Shape

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History

Information Deep Structured Implicit Functions Update
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Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion (CVPR2020)
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion (CVPR2020)
Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects
Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects
Deep Implicit Templates for 3D Shape Representation
Deep Implicit Templates for 3D Shape Representation
TUM AI Lecture Series - Shape Reps: Parametric Meshes vs Implicit Functions (Gerard Pons-Moll)
TUM AI Lecture Series - Shape Reps: Parametric Meshes vs Implicit Functions (Gerard Pons-Moll)
Copy of 3DGV Seminar: Thomas Funkhouser -- Learning Implicit 3D Shape Representations
Copy of 3DGV Seminar: Thomas Funkhouser -- Learning Implicit 3D Shape Representations
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing
Local Implicit Grid Representations for 3D Scenes
Local Implicit Grid Representations for 3D Scenes
Learning Structured Implicit Shape Representations - Part 1/4
Learning Structured Implicit Shape Representations - Part 1/4
GIFS: Neural Implicit Function for General Shape Representation (CVPR 2022)
GIFS: Neural Implicit Function for General Shape Representation (CVPR 2022)
NeurIPS 2020 Tutorial: Deep Implicit Layers
NeurIPS 2020 Tutorial: Deep Implicit Layers

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Last Updated: September 27, 2026

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Summary

Authors: Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas Funkhouser Description: The goal of this project is to ... We provide networks that infer the space decomposition and 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 E. Tretschk, A. Tewari, V. Golyanik, M. Zollhoefer, C. Stoll, C. Theobalt ECCV 2020 Authors: Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui Description: We propose a ... Authors: Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas Funkhouser Description: ... In this talk, I will discuss ways to combine these This is a video recording of our NeurIPS 2020 Tutorial -

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