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
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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)
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 โ classification through emergent wave interference on spherical topology (Kuramoto + Free Energy + Goldberg Polyhedron)
๐ Reshape LLM interactions with Context Fields, using cognitive constraints to enforce rules and improve model outcomes.
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