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Understanding Implicit Neural Representations with Itzik Ben-Shabat
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
Recovering Fine Details for Neural Implicit Surface Reconstruction
Neuroevolution Explained by Example
[CVPR 2023] NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images
Gradient Descent vs Evolution | How Neural Networks Learn
Learning Continuous Mesh Representation with Spherical Implicit Surface
[CVPR 2023] Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors
[CVPR 2023] NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images
SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction. In ICCV, 2023.
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Last Updated: October 18, 2026
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Neural Implicit Surface Evolution Course Webpage: 3dml.kaist.ac.kr/ This is the official video from the paper In this episode of Computer Vision Decoded, we are going to dive into Authors: Chen, Decai*; Zhang, Peng; Feldmann, Ingo; Schreer, Oliver; Eisert, Peter Description: Recent works on We'll be exploring the combination of genetic algorithms and Explore two learning algorithms for Authors: Zhongpai Gao (Shanghai Jiao Tong University )* Description: Website: xmeng525.github.io/xiaoxumeng.github.io/projects/cvpr23_neat Abstract: Recent progress in Paper Abstract: Recent methods for