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Decoding visual brain representations from electroencephalography
  through Knowledge Distillation and latent diffusion models

Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion models

8 September 2023
Matteo Ferrante
T. Boccato
S. Bargione
N. Toschi
    DiffM
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Papers citing "Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion models"

4 / 4 papers shown
Title
Comprehensive Review of EEG-to-Output Research: Decoding Neural Signals into Images, Videos, and Audio
Comprehensive Review of EEG-to-Output Research: Decoding Neural Signals into Images, Videos, and Audio
Yashvir Sabharwal
Balaji Rama
24
1
0
31 Dec 2024
Optimized two-stage AI-based Neural Decoding for Enhanced Visual
  Stimulus Reconstruction from fMRI Data
Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data
Lorenzo Veronese
Andrea Moglia
Luca Mainardi
Pietro Cerveri
DiffM
64
0
0
17 Dec 2024
EEG-Driven 3D Object Reconstruction with Style Consistency and Diffusion
  Prior
EEG-Driven 3D Object Reconstruction with Style Consistency and Diffusion Prior
Xin Xiang
Wenhui Zhou
Guojun Dai
DiffM
26
0
0
28 Oct 2024
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models
Eleonora Lopez
Luigi Sigillo
Federica Colonnese
Massimo Panella
Danilo Comminiello
DiffM
41
1
0
17 Sep 2024
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