ARCH: Animatable Reconstruction of Clothed Humans
ARCH, an end-to-end framework, offers accurate reconstruction of animation-ready 3D clothed humans from a single unconstrained RGB image. This is achieved through its learned pose-aware model that produces detailed 3D rigged full-body human avatars. It uses a combination of Semantic Space and Semantic Deformation Field, alongside a parametric 3D body estimator to reduce ambiguities in geometry caused by pose variations and occlusions in training
What is CodeSLAM?
CodeSLAM is a technology that enables 3D geometry representation of a scene using a variational autoencoder's latent space. A depth map is generated from the RGB image and the unknown code $D = G_\theta(I,c)$.
How Does CodeSLAM Work?
During training, the generator and encoder are trained using a standard autoencoding task to learn the weights of the $G_\theta$ network. At test time, you can find the code $c$ and the image's pose by optimizing the reprojection error over mul
NeuralRecon is an advanced technology that allows a computer to create a 3D model of an object or scene in real-time using only one video camera. This is different from other methods that use 2D images to create a 3D model. NeuralRecon uses a neural network to build a 3D model based on the video footage.
How NeuralRecon Works
NeuralRecon uses a neural network to learn how to create a 3D model from video footage. The neural network creates local surfaces represented as sparse TSDF volumes, whi
NICE-SLAM: Revolutionary Technology for Simultaneous Localization and Mapping
NICE-SLAM is an innovative technology that can be applied to large-scale scenes for simultaneous localization and mapping. This advanced system combines neural implicit decoders with a hierarchical grid-based representation of the environment to produce precise and detailed reconstructions of indoor spaces. It has demonstrated tremendous results in various domains, including robotics, augmented reality, and autonomous