1 code implementation • 15 Feb 2024 • Abdullah Hamdi, Luke Melas-Kyriazi, Guocheng Qian, Jinjie Mai, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi
With the aid of a frequency-modulated loss, GES achieves competitive performance in novel-view synthesis benchmarks while requiring less than half the memory storage of Gaussian Splatting and increasing the rendering speed by up to 39%.
1 code implementation • 25 Jan 2024 • Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick
We introduce pix2gestalt, a framework for zero-shot amodal segmentation, which learns to estimate the shape and appearance of whole objects that are only partially visible behind occlusions.
1 code implementation • 24 May 2023 • Rundi Wu, Ruoshi Liu, Carl Vondrick, Changxi Zheng
Specifically, we encode the input 3D textured shape into triplane feature maps that represent the signed distance and texture fields of the input.
no code implementations • CVPR 2023 • Ruoshi Liu, Carl Vondrick
The relatively hot temperature of the human body causes people to turn into long-wave infrared light sources.
1 code implementation • ICCV 2023 • Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick
We introduce Zero-1-to-3, a framework for changing the camera viewpoint of an object given just a single RGB image.
no code implementations • CVPR 2023 • Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick
Experiments and visualizations show that the method is able to generate multiple possible solutions that are consistent with the observation of the shadow.
no code implementations • 17 Jun 2022 • Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick
Experiments and visualizations show that the method is able to generate multiple possible solutions that are consistent with the observation of the shadow.
no code implementations • ICCV 2023 • Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick
Many machine learning methods operate by inverting a neural network at inference time, which has become a popular technique for solving inverse problems in computer vision, robotics, and graphics.
1 code implementation • CVPR 2021 • Dídac Surís, Ruoshi Liu, Carl Vondrick
We introduce a framework for learning from unlabeled video what is predictable in the future.
Representation Learning Self-Supervised Action Recognition +1
no code implementations • ICLR 2019 • Ruoshi Liu, Michael M. Norton, Seth Fraden, Pengyu Hong
Active matter consists of active agents which transform energy extracted from surroundings into momentum, producing a variety of collective phenomena.