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DL4CV@WIS (Winter 2023/4): #19 Implicit 3D representations (part 2)
Understanding Implicit Neural Representations with Itzik Ben-Shabat
Local Deep Implicit Functions for 3D Shape
Deep Structured Implicit Functions
Lecture 6: Implicit Neural Representations (KAIST CS479, Spring 2026)
Copy of 3DGV Seminar: Thomas Funkhouser -- Learning Implicit 3D Shape Representations
MIT 6.S184: Flow Matching and Diffusion Models - Lecture 04 - Latent Spaces, Neural networks (2026)
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
Local Deep Implicit Functions for 3D Shapes
Neural Implicit Representations for 3D Vision and Beyond by Dr. Andreas Geiger @QUVA
Lecture 04 Neural Networks Representation
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Last Updated: October 18, 2026
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Abstract: There has recently been an explosion of research on Signed distance function (SDF), Volumetric Authors: Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas Funkhouser Description: The goal of this project is to ... Course Webpage: 3dml.kaist.ac.kr/ Lecture notes: diffusion.csail.mit.edu/2026/... Slides: diffusion.csail.mit.edu/2026/... Course website: ... E. Tretschk, A. Tewari, V. Golyanik, M. Zollhoefer, C. Stoll, C. Theobalt ECCV 2020
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