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Toshimitsu Uesaka — most-cited papers & profile · Generative Models
← authors
·
overview
Toshimitsu Uesaka
11
papers ·
35
citations ·
7
h-index
Google Scholar ↗
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Most-cited papers
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
2022 · 13 citations
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
2023 · 5 citations
Preventing Oversmoothing in VAE via Generalized Variance Parameterization
2021 · 1 citations
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
2024 · 1 citations
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
2024 · 1 citations
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
2024
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion
2024
Manifold Preserving Guided Diffusion
2023
Top co-authors
Yuki Mitsufuji
· 8
Chieh-Hsin Lai
· 7
Naoki Murata
· 7
Yuhta Takida
· 6
Stefano Ermon
· 3
Wei-Hsiang Liao
· 3
Shusuke Takahashi
· 2
Takashi Shibuya
· 2
Yuhta Takida
· 2
Bac Nguyen
· 1
Dongjun Kim
· 1
Dongjun Kim
· 1
Topics
Training & Sampling
Diffusion Models
Audio Generation
cs.IT
eess.SP
math.IT
GANs
Conditioning & Control
Text-to-Image