Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Eric Ryan"'
Autor:
Samuele Papeschi, Eric Ryan, Giovanni Musumeci, Francesco Mazzarini, Paolo Stefano Garofalo, Giulio Viola
Publikováno v:
Journal of Maps, Vol 17, Iss 2, Pp 533-546 (2021)
We document the tectonic and metamorphic evolution of thrust nappes of the eastern island of Elba. The area exposes a natural cross section of the Northern Apennines hinterland, from the metamorphic basement units to the overlying continent- and ocea
Externí odkaz:
https://doaj.org/article/674599aeb43f4a67a5cce234cafa6363
Autor:
Sargent, Kyle, Li, Zizhang, Shah, Tanmay, Herrmann, Charles, Yu, Hong-Xing, Zhang, Yunzhi, Chan, Eric Ryan, Lagun, Dmitry, Fei-Fei, Li, Sun, Deqing, Wu, Jiajun
We introduce a 3D-aware diffusion model, ZeroNVS, for single-image novel view synthesis for in-the-wild scenes. While existing methods are designed for single objects with masked backgrounds, we propose new techniques to address challenges introduced
Externí odkaz:
http://arxiv.org/abs/2310.17994
Autor:
Po, Ryan, Yifan, Wang, Golyanik, Vladislav, Aberman, Kfir, Barron, Jonathan T., Bermano, Amit H., Chan, Eric Ryan, Dekel, Tali, Holynski, Aleksander, Kanazawa, Angjoo, Liu, C. Karen, Liu, Lingjie, Mildenhall, Ben, Nießner, Matthias, Ommer, Björn, Theobalt, Christian, Wonka, Peter, Wetzstein, Gordon
The field of visual computing is rapidly advancing due to the emergence of generative artificial intelligence (AI), which unlocks unprecedented capabilities for the generation, editing, and reconstruction of images, videos, and 3D scenes. In these do
Externí odkaz:
http://arxiv.org/abs/2310.07204
Autor:
Yu, Hong-Xing, Guo, Michelle, Fathi, Alireza, Chang, Yen-Yu, Chan, Eric Ryan, Gao, Ruohan, Funkhouser, Thomas, Wu, Jiajun
Publikováno v:
Transactions on Machine Learning Research (TMLR), 2023
Photorealistic object appearance modeling from 2D images is a constant topic in vision and graphics. While neural implicit methods (such as Neural Radiance Fields) have shown high-fidelity view synthesis results, they cannot relight the captured obje
Externí odkaz:
http://arxiv.org/abs/2303.06138
Diffusion models have emerged as the state-of-the-art for image generation, among other tasks. Here, we present an efficient diffusion-based model for 3D-aware generation of neural fields. Our approach pre-processes training data, such as ShapeNet me
Externí odkaz:
http://arxiv.org/abs/2211.16677
Autor:
Cai, Shengqu, Chan, Eric Ryan, Peng, Songyou, Shahbazi, Mohamad, Obukhov, Anton, Van Gool, Luc, Wetzstein, Gordon
Scene extrapolation -- the idea of generating novel views by flying into a given image -- is a promising, yet challenging task. For each predicted frame, a joint inpainting and 3D refinement problem has to be solved, which is ill posed and includes a
Externí odkaz:
http://arxiv.org/abs/2211.12131
Autor:
Harris, Eric Ryan
Publikováno v:
Optometric Education; Spring2024, Vol. 49 Issue 2, p9-19, 11p
Publikováno v:
Ceramics International. 48:15516-15524
Autor:
Jennifer Ott, Sean Letts, Adam Molnar, Eric Ryan, Marcus Wong, Simone M. Mazza, Mohammad Nizam, Hartmut F.-W. Sadrozinski, Bruce Schumm, Abraham Seiden, K.-W. Taylor Shin, Ryan Heller, Christopher Madrid, Artur Apresyan, William K. Brooks, Wei Chen, Gabriele D’Amen, Gabriele Giacomini, Ikumi Goya, Kazuhiko Hara, Sayuka Kita, Sergey Los, Koji Nakamura, Cristián Peña, Claudio San Martin, Tatsuki Ueda, Alessandro Tricoli, Si Xie
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 1045:167541
Autor:
Ambrose, Eric Ryan
The field of robotic hopping began over 40 years ago, when it was first shown that robust hopping could be achieved on real hardware. In the years since then, it's become clear that hopping requires high performance and precision from its actuation a