Abstract We introduce Zero-1-to-3, a framework for changing the camera viewpoint of an
object given just a single RGB image. To perform novel view synthesis in this …

Natural language processing and 2D vision models have attained remarkable proficiency on
many tasks primarily by escalating the scale of training data. However, 3D vision tasks have …

Synthesizing 3D human avatars interacting realistically with a scene is an important problem
with applications in AR/VR, video games, and robotics. Towards this goal, we address the …

The relatively hot temperature of the human body causes people to turn into long-wave
infrared light sources. Since this emitted light has a larger wavelength than visible light …

Video Shadow Detection (VSD) is an important computer vision task focusing on detecting
and segmenting shadows throughout the entire video sequence. Despite their remarkable …

Abstract 3D reconstruction from a single-view is challenging because of the ambiguity from
monocular cues and lack of information about occluded regions. Neural radiance fields …

We propose a novel method for 3D shape completion from a partial observation of a point
cloud. Existing methods either operate on a global latent code, which limits the …

This research developed a model using convolutional neural network (CNN) architecture for
pattern detection and feature extraction from shadows and shapes in images. The dataset …

Determining the height of objects in a 2D image from their shadow and developing a model
capable of estimating the height of uniform geometric shapes and objects of different sizes …