Search Results for author:
Found 8 papers, 3 papers with code
Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
Specifically, we encode the input 3D textured shape into triplane feature maps that represent the signed distance and texture fields of the input.
Humans as Light Bulbs: 3D Human Reconstruction from Thermal Reflection
The relatively hot temperature of the human body causes people to turn into long-wave infrared light sources.
Zero-1-to-3: Zero-shot One Image to 3D Object
We introduce Zero-1-to-3, a framework for changing the camera viewpoint of an object given just a single RGB image.
What You Can Reconstruct From a Shadow
Experiments and visualizations show that the method is able to generate multiple possible solutions that are consistent with the observation of the shadow.
Landscape Learning for Neural Network Inversion
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.
Shadows Shed Light on 3D Objects
Experiments and visualizations show that the method is able to generate multiple possible solutions that are consistent with the observation of the shadow.
Learning the Predictability of the Future
We introduce a framework for learning from unlabeled video what is predictable in the future.
Representation Learning
Self-Supervised Action Recognition
+1
Detecting Topological Defects in 2D Active Nematics Using Convolutional Neural Networks
Active matter consists of active agents which transform energy extracted from surroundings into momentum, producing a variety of collective phenomena.
