This article explains the key points of RelateAnything: Real-Time Open-Vocabulary Relation Prediction From Any Inputs. 2026-09-11 (arXiv) Neau, Maëlic. Independent Researcher Paper Github Read this article in Korean Summary RelateAnything predicts relations for arbitrary supplied regions and inference-time predicate strings without using object labels as network inputs. The paper contributes...

이번 글에서는 RelateAnything: Real-Time Open-Vocabulary Relation Prediction From Any Inputs 논문의 핵심 포인트만 간단히 정리한다. 2026년 9월 11일(Arxiv) Neau, Maëlic. Independent Researcher 논문 링크 Github 영문판 보기 요약 RelateAnything는 객체 레이블을 네트워크 입력으로 사용하지 않고, 임의로 제공된 영역과 추론 시점에 입력한 predicate 문자열의 관계를 예측한다. 논문은 53M-parameter 모델, RA-4M 자유...

This article explains the key points of Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation. 2026-09-08 (arXiv), ACM Transactions on Graphics Pavlovic, Igor, Wandel, Thiemo, Obukhov, Anton, Bartolomei, Luca, Davydov, Andrey, Tosi, Fabio, Poggi, Matteo, Süsstrunk, Sabine, Dai, Dengxin. EPFL, Switzerland, HUAWEI Bayer Lab, Switzerland, University of Bologna, Italy...

이번 글에서는 Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation 논문의 핵심 포인트만 간단히 정리한다. 2026년 9월 8일(Arxiv), ACM Transactions on Graphics Pavlovic, Igor, Wandel, Thiemo, Obukhov, Anton, Bartolomei, Luca, Davydov, Andrey, Tosi, Fabio, Poggi, Matteo, Süsstrunk, Sabine, Dai, Dengxin. EPFL, Switzerland, HUAWEI Bayer Lab, Switzerland, University of Bologna,...

This article explains the key points of AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing. 2026-09-08 (arXiv) Ma, Ziyang, Niu, Zhikang, Tu, Wenming, Wang, Tianrui, Yan, Ruiqi, Liu, Junxi, Huo, Yanru, Huang, Nickk, Liu, Yang, Xie, Qicong, et al. Paper Github Project Page Read this article...