A 3D-aware generative adversarial network (GAN) that synthesizes images of full-body humans with consistent appearances under different view-angles and body-poses.
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Updated
Oct 31, 2023 - Python
A 3D-aware generative adversarial network (GAN) that synthesizes images of full-body humans with consistent appearances under different view-angles and body-poses.
Official code for "Learning Neural Acoustic Fields" (NeurIPS 2022)
[ICLR 2025] NeRAF jointly learns acoustic and radiance fields, enabling realistic audio-visual generation.
Learning Large-scale Neural Fields via Context Pruned Meta-Learning (NeurIPS 2023)
[KDD26 Oral AI4S Track] The official implementation of the paper "EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator"
Model of planar neural field that uses Amari equation
Oscillatory models of FHN
CVPR 2025: Preconditioners for the Stochastic Training of Neural fields
Code supporting 'Neural mechanisms of EEG alpha-BOLD anticorrelation'
Continuous-time Neural Field framework — classification through emergent wave interference on spherical topology (Kuramoto + Free Energy + Goldberg Polyhedron)
Poincaré Lateral Activation Network · Field Of Reaction-diffusion Morphogenesis
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