Research Reviews/Generative Model3 [논문 리뷰] InstructPix2Pix: Learning to Follow Image Editing Instructions Paper DetailsTitle: InstructPix2Pix: Learning to Follow Image Editing InstructionsAuthors: Tim Brooks, Aleksander Holynski, Alexei A. EfrosConference: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023Year of Publication: 2023Link: https://arxiv.org/abs/2211.09800 / https://www.timothybrooks.com/instruct-pix2pixKey Focus: This paper introduces InstructPix2Pix, a condition.. 2025. 1. 27. [논문 리뷰] Interpolating between Images with Diffusion Models Paper DetailsTitle: Interpolating between Images with Diffusion Models Authors: Clinton J. Wang, Polina Golland Institution: MIT CSAIL Year of Publication: 2023Link: https://arxiv.org/pdf/2307.12560Key Focus: This paper addresses the challenge of image interpolation, which is underexplored in current image generation pipelines. The authors propose a novel method using latent diffusion models to .. 2024. 12. 30. [논문 리뷰] Denoising Diffusion Probabilistic Models Paper DetailsTitle: Denoising Diffusion Probabilistic ModelsAuthors: Jonathan Ho, Ajay Jain, Pieter AbbeelConference: 34th Conference on Neural Information Processing Systems (NeurIPS 2020)Year of Publication: 2020Link: https://arxiv.org/abs/2006.11239Key Focus:This paper presents a method for high-quality image synthesis using diffusion probabilistic models, a class of latent variable models i.. 2024. 10. 7. 이전 1 다음
