Zobrazeno 1 - 10
of 7 942
pro vyhledávání: '"So, Jaewoo"'
Human Mesh Recovery (HMR) is an important yet challenging problem with applications across various domains including motion capture, augmented reality, and biomechanics. Accurately predicting human pose parameters from a single image remains a challe
Externí odkaz:
http://arxiv.org/abs/2411.11214
Motion capture technologies have transformed numerous fields, from the film and gaming industries to sports science and healthcare, by providing a tool to capture and analyze human movement in great detail. The holy grail in the topic of monocular gl
Externí odkaz:
http://arxiv.org/abs/2411.10582
Vision-language-action (VLA) models represent a promising direction for developing general-purpose robotic systems, demonstrating the ability to combine visual understanding, language comprehension, and action generation. However, systematic evaluati
Externí odkaz:
http://arxiv.org/abs/2411.05821
The advent of Large Language Models (LLMs) have shown promise in various creative domains, including culinary arts. However, many LLMs still struggle to deliver the desired level of culinary creativity, especially when tasked with adapting recipes to
Externí odkaz:
http://arxiv.org/abs/2411.01996
Autor:
Sohn, Jiwoong, Park, Yein, Yoon, Chanwoong, Park, Sihyeon, Hwang, Hyeon, Sung, Mujeen, Kim, Hyunjae, Kang, Jaewoo
Large language models (LLM) hold significant potential for applications in biomedicine, but they struggle with hallucinations and outdated knowledge. While retrieval-augmented generation (RAG) is generally employed to address these issues, it also ha
Externí odkaz:
http://arxiv.org/abs/2411.00300
Autor:
Hong, Sunghwan, Jung, Jaewoo, Shin, Heeseong, Han, Jisang, Yang, Jiaolong, Luo, Chong, Kim, Seungryong
We consider the problem of novel view synthesis from unposed images in a single feed-forward. Our framework capitalizes on fast speed, scalability, and high-quality 3D reconstruction and view synthesis capabilities of 3DGS, where we further extend it
Externí odkaz:
http://arxiv.org/abs/2410.22128
Bayesian inference for doubly intractable distributions is challenging because they include intractable terms, which are functions of parameters of interest. Although several alternatives have been developed for such models, they are computationally
Externí odkaz:
http://arxiv.org/abs/2410.21021
Navigating the vast chemical space of druggable compounds is a formidable challenge in drug discovery, where generative models are increasingly employed to identify viable candidates. Conditional 3D structure-based drug design (3D-SBDD) models, which
Externí odkaz:
http://arxiv.org/abs/2410.20660
Autor:
Lee, Taewhoo, Yoon, Chanwoong, Jang, Kyochul, Lee, Donghyeon, Song, Minju, Kim, Hyunjae, Kang, Jaewoo
Recent advancements in large language models (LLM) capable of processing extremely long texts highlight the need for a dedicated evaluation benchmark to assess their long-context capabilities. However, existing methods, like the needle-in-a-haystack
Externí odkaz:
http://arxiv.org/abs/2410.16848
Large language models (LLMs) have significantly impacted many aspects of our lives. However, assessing and ensuring their chronological knowledge remains challenging. Existing approaches fall short in addressing the accumulative nature of knowledge,
Externí odkaz:
http://arxiv.org/abs/2410.09870