Search Results for author: Ruoshi Liu

Found 10 papers, 5 papers with code

GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering

1 code implementation15 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%.

3D Reconstruction Novel View Synthesis

pix2gestalt: Amodal Segmentation by Synthesizing Wholes

1 code implementation25 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.

3D Reconstruction Object Recognition +1

Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape

1 code implementation24 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.

Denoising

Humans as Light Bulbs: 3D Human Reconstruction from Thermal Reflection

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.

3D Human Reconstruction Position

Zero-1-to-3: Zero-shot One Image to 3D Object

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.

3D Reconstruction Image to 3D +3

What You Can Reconstruct From a Shadow

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.

3D Reconstruction Object +1

Shadows Shed Light on 3D Objects

no code implementations17 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.

3D Reconstruction Object +1

Landscape Learning for Neural Network Inversion

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.

Adversarial Defense

Detecting Topological Defects in 2D Active Nematics Using Convolutional Neural Networks

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.

Defect Detection

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