Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

Creating a lifelike digital replica of a physical space no longer requires specialized equipment or labor-intensive manual mapping. A new system, DRAWER, developed by researchers at Cornell University ...

Shading brings 3D forms to life, beautifully carving out the shape of objects around us. Despite the importance of shading ...

To address the problems, we propose a monocular 3D object detection method based on long short-term feature fusion and motion feature distillation. Long short-term temporal features are extracted with ...

Object 3D reconstruction from a single-view image is an ill-posed problem. Inferring the self-occluded part of an object makes 3D reconstruction a challenging and ambiguous task.

My working setup is somewhat odd. I use a MacBook Pro, plugged into a docking station that splits the video output into two ...

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that ...

NVIDIA Kaolin library provides a PyTorch API for working with a variety of 3D representations and includes a growing collection of GPU-optimized operations such as modular differentiable rendering, ...