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• SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
  2022 · 13 citations
• A Survey on Diffusion Models for Inverse Problems
  2024 · 9 citations
• SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
  2023 · 5 citations
• Novelty Detection via Robust Variational Autoencoding
  2020 · 3 citations
• Robust Vector Quantized-Variational Autoencoder
  2022 · 3 citations
• Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation
  2025 · 2 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
• SteerMusic: Enhanced Musical Consistency for Zero-shot Text-guided and Personalized Music Editing
  2025
• VCT: Training Consistency Models with Variational Noise Coupling
  2025
• G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
  2024
• Manifold Preserving Guided Diffusion
  2023