Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chan, Eric Ryan"'
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