Naoki Murata
15 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
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Keywords
diffusion model
(6)
generative model
(3)
music editing
(2)
zero-shot learning
(2)
text-to-image model
(2)
attention mechanism
(1)
style transfer
(1)
image generation
(1)
monocular depth estimation
(1)
depth estimation
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model merging
(1)
model adaptation
(1)
posterior sampling
(1)
speech enhancement
(1)
image restoration
(1)
score matching
(1)
likelihood estimation
(1)
knowledge distillation
(1)
gibbs sampler
(1)
vector quantization
(1)
Papers
SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing
AAAI 2026
Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
ICLR 2025
Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models
ICCV 2025
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
ICLR 2025
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
ICLR 2024
MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models
IJCAI 2024
On the Language Encoder of Contrastive Cross-modal Models
ACL 2024
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
NIPS 2024
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
NIPS 2024
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
ICLR 2024
Manifold Preserving Guided Diffusion
ICLR 2024
Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement
INTERSPEECH 2023
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
ICML 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
ICML 2023
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
ICML 2022