Yuhta Takida
18 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Keywords
diffusion model
(10)
image generation
(6)
generative model
(4)
latent diffusion
(3)
knowledge distillation
(2)
score matching
(2)
classifier-free guidance
(2)
vision-language model
(2)
one-step generation
(2)
speech enhancement
(1)
posterior sampling
(1)
flow matching
(1)
optimal transport
(1)
tensor decomposition
(1)
model adaptation
(1)
model merging
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image restoration
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likelihood estimation
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gibbs sampler
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image synthesis
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Papers
PAVAS: Physics-Aware Video-to-Audio Synthesis
CVPR 2026
Classifier-Free Guidance Inside the Attraction Basin May Cause Memorization
CVPR 2025
Distillation of Discrete Diffusion through Dimensional Correlations
ICML 2025
Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models
ICLR 2025
Large-Scale Training Data Attribution for Music Generative Models via Unlearning
NeurIPS 2025
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation
ICLR 2025
Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models
ICCV 2025
VCT: Training Consistency Models with Variational Noise Coupling
ICML 2025
Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
ICLR 2025
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
ICLR 2024
Manifold Preserving Guided Diffusion
ICLR 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
NeurIPS 2024
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
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