IEEE

An Equivariant Machine Learning Decoder for 3D Toric Codes

Abstract: Research on mitigating errors in computing and communication systems has grown with their widespread use. In quantum computing, error correction is crucial ...
GitHub

UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinement

In this report, we introduce UltraShape 1.0, a scalable 3D diffusion framework for high-fidelity 3D geometry generation. The proposed approach adopts a two-stage generation pipeline: a coarse global ...
The New York Times

‘He’s a Maximalist’: Inside Trump’s Gilded Oval Office

The New York Times recreated the president’s office in 3-D, using hundreds of photos taken in October. THE WHITE HOUSE WEST WING Oval Office The New York Times recreated the president’s office in 3-D, ...
GitHub

DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion

We present an innovative approach to 3D Human Pose Estimation (3D-HPE) by integrating cutting-edge diffusion models, which have revolutionized diverse fields, but are relatively unexplored in 3D-HPE.
IEEE

Rendering 3D CT Scans through 3D Gaussian Splatting Initialized with Points Sampled by Cube-Based Neural Radiance Fields

Abstract: Inthis paper, we present Cube-Cloud 3D Gaussian Splatting (Cube-Cloud 3DGS), a novel framework designed to render medical image that inherently structured with three fixed axes. The methods ...