arXiv:1807.02254
Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks
원문 초록
Can we make a famous rap singer like Eminem sing whatever our favorite song? Singing style transfer attempts to make this possible, by replacing the vocal of a song from the source singer to the target singer. This paper presents a method that learns from unpaired data for singing style transfer using generative adversarial networks.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
SA-LUT: Spatial Adaptive 4D Look-Up Table for Photorealistic Style Transfer
Implicit Inversion turns CLIP into a Decoder
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
Graph Style Transfer for Counterfactual Explainability
Style Transfer with Diffusion Models for Synthetic-to-Real Domain Adaptation
토론
이 논문과 연결된 포럼 글이 아직 없습니다.