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목록image generation (3)
평범한 필기장
[평범한 학부생이 하는 논문 리뷰] Pathways on the Image Manifold: Image Editing via Video Generation (CVPR 2025)
Paper : https://arxiv.org/abs/2411.16819 Pathways on the Image Manifold: Image Editing via Video GenerationRecent advances in image editing, driven by image diffusion models, have shown remarkable progress. However, significant challenges remain, as these models often struggle to follow complex edit instructions accurately and frequently compromise fidelity byarxiv.orgAbstract기존 문제 기존의 image dif..
[평범한 학부생이 하는 논문 리뷰] One Step Diffusion via Shortcut Models (ICLR 2025 oral)
paper : https://arxiv.org/abs/2410.12557 One Step Diffusion via Shortcut ModelsDiffusion models and flow-matching models have enabled generating diverse and realistic images by learning to transfer noise to data. However, sampling from these models involves iterative denoising over many neural network passes, making generation slow aarxiv.orgAbstract본 논문은 shortcut model을 제안한다. 이는 single network를..
[평범한 학부생이 하는 논문 리뷰] Style Aligned Image Generation via Shared Attention (CVPR 2024)
Project Page : https://style-aligned-gen.github.io/ StyleAlignStyle Aligned Image Generation via Shared Attention CVPR 2024, Oral Amir Hertz* 1 Andrey Voynov* 1 Shlomi Fruchter† 1 Daniel Cohen-Or† 1,2 1 Google Research 2 Tel Aviv University *Indicates Equal Contribution †Indicates Equal Advising [Paper] style-aligned-gen.github.ioPaper : https://arxiv.org/abs/2312.02133 Style Aligned Image Ge..