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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography
BemaGANv2: A Tutorial and Comparative Survey of GAN-based Vocoders for Long-Term Audio Generation
IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
Efficient Listener: Dyadic Facial Motion Synthesis via Action Diffusion
DOSE : Drum One-Shot Extraction from Music Mixture
DRAGON: Distributional Rewards Optimize Diffusion Generative Models
Enhancing U.S. swine farm preparedness for infectious foreign animal diseases with rapid access to biosecurity information
TARO: Timestep-Adaptive Representation Alignment with Onset-Aware Conditioning for Synchronized Video-to-Audio Synthesis
Enhance Generation Quality of Flow Matching V2A Model via Multi-Step CoT-Like Guidance and Combined Preference Optimization
Aligning Text-to-Music Evaluation with Human Preferences
FlowDec: A flow-based full-band general audio codec with high perceptual quality
KAD: No More FAD! An Effective and Efficient Evaluation Metric for Audio Generation
RenderBox: Expressive Performance Rendering with Text Control
Diffusion based Text-to-Music Generation with Global and Local Text based Conditioning
Sound Scene Synthesis at the DCASE 2024 Challenge
Market Making with Fads, Informed, and Uninformed Traders
Frechet Music Distance: A Metric For Generative Symbolic Music Evaluation
MIMII-Gen: Generative Modeling Approach for Simulated Evaluation of Anomalous Sound Detection System
Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
Bridging Paintings and Music -- Exploring Emotion based Music Generation through Paintings
Multi-Source Music Generation with Latent Diffusion
Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer
AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal Samples
Efficient Autoregressive Audio Modeling via Next-Scale Prediction
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
Braille-to-Speech Generator: Audio Generation Based on Joint Fine-Tuning of CLIP and Fastspeech2
Taming Data and Transformers for Audio Generation
Exploring compressibility of transformer based text-to-music (TTM) models
MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models
Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI
FAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method
FaceCat: Enhancing Face Recognition Security with a Unified Diffusion Model
Latent CLAP Loss for Better Foley Sound Synthesis
MOS-FAD: Improving Fake Audio Detection Via Automatic Mean Opinion Score Prediction
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