no code implementations • 8 Jun 2019 • Chris Sweeney, Aleksander Holynski, Brian Curless, Steve M Seitz
We present a novel Structure from Motion pipeline that is capable of reconstructing accurate camera poses for panorama-style video capture without prior camera intrinsic calibration.
no code implementations • CVPR 2020 • Jeong Joon Park, Aleksander Holynski, Steve Seitz
We address the dual problems of novel view synthesis and environment reconstruction from hand-held RGBD sensors.
no code implementations • 27 Aug 2020 • Aleksander Holynski, David Geraghty, Jan-Michael Frahm, Chris Sweeney, Richard Szeliski
Low-frequency long-range errors (drift) are an endemic problem in 3D structure from motion, and can often hamper reasonable reconstructions of the scene.
no code implementations • CVPR 2021 • Aleksander Holynski, Brian Curless, Steven M. Seitz, Richard Szeliski
In this paper, we demonstrate a fully automatic method for converting a still image into a realistic animated looping video.
no code implementations • CVPR 2023 • Yifan Wang, Aleksander Holynski, Xiuming Zhang, Xuaner Zhang
Our method only requires the user to capture a selfie video outdoors, rotating in place, and uses the varying angles between the sun and the face as guidance in joint reconstruction of facial geometry, reflectance, camera pose, and lighting parameters.
5 code implementations • CVPR 2023 • Tim Brooks, Aleksander Holynski, Alexei A. Efros
We propose a method for editing images from human instructions: given an input image and a written instruction that tells the model what to do, our model follows these instructions to edit the image.
no code implementations • ICCV 2023 • Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman
We fine-tune on a collection of fashion videos from the UBC Fashion dataset.
1 code implementation • ICCV 2023 • Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
We propose a method for editing NeRF scenes with text-instructions.
no code implementations • 12 Apr 2023 • Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman
We fine-tune on a collection of fashion videos from the UBC Fashion dataset.
1 code implementation • ICCV 2023 • Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa
Casually captured Neural Radiance Fields (NeRFs) suffer from artifacts such as floaters or flawed geometry when rendered outside the camera trajectory.
1 code implementation • NeurIPS 2023 • Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski
However, many aspects of an image are difficult or impossible to convey through text.
1 code implementation • ICCV 2023 • Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely
We present a new test-time optimization method for estimating dense and long-range motion from a video sequence.
no code implementations • 14 Sep 2023 • Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski
We present an approach to modeling an image-space prior on scene motion.
no code implementations • 28 Sep 2023 • Luming Tang, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E. Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, Michael Rubinstein
Once personalized, RealFill is able to complete a target image with visually compelling contents that are faithful to the original scene.
no code implementations • 11 Oct 2023 • Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein
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.
no code implementations • 4 Dec 2023 • Xiaojuan Wang, Janne Kontkanen, Brian Curless, Steve Seitz, Ira Kemelmacher, Ben Mildenhall, Pratul Srinivasan, Dor Verbin, Aleksander Holynski
We present a method that uses a text-to-image model to generate consistent content across multiple image scales, enabling extreme semantic zooms into a scene, e. g., ranging from a wide-angle landscape view of a forest to a macro shot of an insect sitting on one of the tree branches.
no code implementations • 4 Dec 2023 • Grace Luo, Trevor Darrell, Oliver Wang, Dan B Goldman, Aleksander Holynski
We present Readout Guidance, a method for controlling text-to-image diffusion models with learned signals.
no code implementations • 5 Dec 2023 • Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski
3D reconstruction methods such as Neural Radiance Fields (NeRFs) excel at rendering photorealistic novel views of complex scenes.
no code implementations • 26 Feb 2024 • Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski
We introduce a method to generate 3D scenes that are disentangled into their component objects.