vicinal loss2 [논문 리뷰] CCDM: Continuous Conditional Diffusion Models for Image Generation [논문]CCDM: Continuous Conditional Diffusion Models for Image GenerationCoRR 2024Citations: 1[https://arxiv.org/abs/2405.03546]0.AbstractContinuous Conditional Generative Modeling (CCGM)scalar continuous variables의 conditioned인 high-dimensional data의 distribution을 estimateCcGANs - extremely sparse or imbalanced data에 취약함Conditional diffusion models (CcDPMs) - CcGAN에서 diffusion model로 변경⇒ CCGM task.. 2025. 3. 21. [논문 리뷰] CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design [논문]CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse DesignAAAI 2024Citations: 4[https://ojs.aaai.org/index.php/AAAI/article/view/29647]0.AbstractcGANs - single-point design problems에서 promising resultsSingle-point: one performance requirement under one working conditionCategorical space 가정CcGANs - Vicinal Risk Minimization(VRM)도입했지만, 여전히 multi-point design problem 다루지 못.. 2025. 3. 21. 이전 1 다음
