Zobrazeno 1 - 10
of 8 006
pro vyhledávání: '"Snavely, A."'
Autor:
Chou, Gene, Zhang, Kai, Bi, Sai, Tan, Hao, Xu, Zexiang, Luan, Fujun, Hariharan, Bharath, Snavely, Noah
We address the problem of generating videos from unposed internet photos. A handful of input images serve as keyframes, and our model interpolates between them to simulate a path moving between the cameras. Given random images, a model's ability to c
Externí odkaz:
http://arxiv.org/abs/2411.13549
Autor:
Jin, Haian, Jiang, Hanwen, Tan, Hao, Zhang, Kai, Bi, Sai, Zhang, Tianyuan, Luan, Fujun, Snavely, Noah, Xu, Zexiang
We propose the Large View Synthesis Model (LVSM), a novel transformer-based approach for scalable and generalizable novel view synthesis from sparse-view inputs. We introduce two architectures: (1) an encoder-decoder LVSM, which encodes input image t
Externí odkaz:
http://arxiv.org/abs/2410.17242
Autor:
Hassena, Gemmechu, Moon, Jonathan, Fujii, Ryan, Yuen, Andrew, Snavely, Noah, Marschner, Steve, Hariharan, Bharath
Implicit neural fields have made remarkable progress in reconstructing 3D surfaces from multiple images; however, they encounter challenges when it comes to separating individual objects within a scene. Previous work has attempted to tackle this prob
Externí odkaz:
http://arxiv.org/abs/2407.19108
Autor:
Deng, Boyang, Tucker, Richard, Li, Zhengqi, Guibas, Leonidas, Snavely, Noah, Wetzstein, Gordon
We present a method for generating Streetscapes-long sequences of views through an on-the-fly synthesized city-scale scene. Our generation is conditioned by language input (e.g., city name, weather), as well as an underlying map/layout hosting the de
Externí odkaz:
http://arxiv.org/abs/2407.13759
Autor:
Tung, Joseph, Chou, Gene, Cai, Ruojin, Yang, Guandao, Zhang, Kai, Wetzstein, Gordon, Hariharan, Bharath, Snavely, Noah
Scene-level novel view synthesis (NVS) is fundamental to many vision and graphics applications. Recently, pose-conditioned diffusion models have led to significant progress by extracting 3D information from 2D foundation models, but these methods are
Externí odkaz:
http://arxiv.org/abs/2406.11819
Autor:
Jin, Haian, Li, Yuan, Luan, Fujun, Xiangli, Yuanbo, Bi, Sai, Zhang, Kai, Xu, Zexiang, Sun, Jin, Snavely, Noah
Single-image relighting is a challenging task that involves reasoning about the complex interplay between geometry, materials, and lighting. Many prior methods either support only specific categories of images, such as portraits, or require special c
Externí odkaz:
http://arxiv.org/abs/2406.07520
Autor:
Zhang, Tianyuan, Yu, Hong-Xing, Wu, Rundi, Feng, Brandon Y., Zheng, Changxi, Snavely, Noah, Wu, Jiajun, Freeman, William T.
Realistic object interactions are crucial for creating immersive virtual experiences, yet synthesizing realistic 3D object dynamics in response to novel interactions remains a significant challenge. Unlike unconditional or text-conditioned dynamics g
Externí odkaz:
http://arxiv.org/abs/2404.13026
Autor:
Weber, Ethan, Hołyński, Aleksander, Jampani, Varun, Saxena, Saurabh, Snavely, Noah, Kar, Abhishek, Kanazawa, Angjoo
We propose NeRFiller, an approach that completes missing portions of a 3D capture via generative 3D inpainting using off-the-shelf 2D visual generative models. Often parts of a captured 3D scene or object are missing due to mesh reconstruction failur
Externí odkaz:
http://arxiv.org/abs/2312.04560
Autor:
Yu, Hong-Xing, Duan, Haoyi, Hur, Junhwa, Sargent, Kyle, Rubinstein, Michael, Freeman, William T., Cole, Forrester, Sun, Deqing, Snavely, Noah, Wu, Jiajun, Herrmann, Charles
We introduce WonderJourney, a modularized framework for perpetual 3D scene generation. Unlike prior work on view generation that focuses on a single type of scenes, we start at any user-provided location (by a text description or an image) and genera
Externí odkaz:
http://arxiv.org/abs/2312.03884
We present an approach to modeling an image-space prior on scene motion. Our prior is learned from a collection of motion trajectories extracted from real video sequences depicting natural, oscillatory dynamics such as trees, flowers, candles, and cl
Externí odkaz:
http://arxiv.org/abs/2309.07906