전체 글419 [2026-1] 이루가 - InstructPix2Pix: Learning to Follow Image Editing Instructions 논문링크: https://arxiv.org/abs/2211.09800 InstructPix2Pix: Learning to Follow Image Editing InstructionsWe propose a method for editing images from human instructions: given an input image and a written instruction that tells the model what to do, our model follows these instructions to edit the image. To obtain training data for this problem, we combine thearxiv.org Abstract목표입력 이미지와 사용자의 자연어 지시를 .. 2026. 6. 12. [2026-1] 백승우 - How Mobile World Model Guides GUI Agents? How Mobile World Model Guides GUI Agents?Recent advances in vision-language models have enabled mobile GUI agents to perceive visual interfaces and execute user instructions, but reliable prediction of action consequences remains critical for long-horizon and high-risk interactions. Existing mobiarxiv.org 2026. 5. 19. [2026-1] 백승우 - Agent+P: Guiding UI Agents via Symbolic Planning Agent+P: Guiding UI Agents via Symbolic PlanningLarge Language Model (LLM)-based UI agents show great promise for UI automation but often hallucinate in long-horizon tasks due to their lack of understanding of the global UI transition structure. To address this, we introduce AGENT+P, a novel framework tarxiv.org 2026. 5. 19. [2026-1] 정재훈 - Multimodal UnsupervisedImage-to-Image Translation https://arxiv.org/pdf/1804.04732 1. Introduction - 기존 모델의 한계기존에 존재한 CycleGAN을 비롯한 모델들은 입력과 출력이 1:1로 대응되어야 하는 한계점을 가짐 - 현실의 Multimodality 반영 불가현실을 모사하는 것에는 한가지 정답이 아닌 다양한 정답지가 있을 수 있으나 현재 모델은 결정론적인 함수의 형태가 많음. 위의 한계점을 극복한 MUNIT의 모델을 연구팀은 제안하고자 함. 2. Multimodal Unsupervised Image-to-image Translation1. Assumtionxi ∈ Xi 이고, x1 = G_1 (c, s1) x2 = G_2 (c, s2)라 하자.여기서 c는 content code s는 style code를 의.. 2026. 5. 16. 이전 1 2 3 4 5 ··· 105 다음
