Search Results for "atom 3d model"

Mesh R-CNN is a 3D reconstruction and object understanding framework developed by Facebook Research that extends Mask R-CNN into the 3D domain. Built on top of Detectron2 and PyTorch3D, Mesh R-CNN enables end-to-end 3D mesh prediction directly from single RGB images. The model learns to detect, segment, and reconstruct detailed 3D mesh representations of objects in natural images, bridging the gap between 2D perception and 3D understanding. ...

TAPNet is the official Google DeepMind repository for Tracking Any Point (TAP), bundling datasets, models, benchmarks, and demos for precise point tracking in videos. The project includes the TAP-Vid and TAPVid-3D benchmarks, which evaluate long-range tracking of arbitrary points in 2D and 3D across diverse real and synthetic videos. Its flagship models—TAPIR, BootsTAPIR, and the latest TAPNext—use matching plus temporal refinement or next-token style propagation to achieve state-of-the-art...

LPub3D is an Open Source WYSIWYG editing application for creating LEGO® style digital building instructions. LPub3D is developed and maintained by Trevor SANDY. It uses the LDraw™ parts library, the most comprehensive library of digital Open Source LEGO® bricks available (www.ldraw.org/ ) and reads the LDraw LDR and MPD model file formats. LPub3D is available for free under the GNU Public License v3 and runs on Windows, Linux and macOS Operating Systems. LPub3D is also...

CPSeis is the open-source version of ConocoPhillips' former seismic processing system. Uses Fortran 90 and C/C++ layers for I/O. The new system was designed using an MPI-parallel model and works well on Linux clusters or on individual workstations.

Theophanu defines the data-structure and the processing logics to control daylight simulations with Radiance on hierarchical models. It was developed together with a detailed simulation model of late antique Hagia Sophia in Istanbul as part of a research project at TU Darmstadt, supported by the DFG German Research Foundation, grant #5194526: "Die Hagia Sophia Justinians in Konstantinopel als Schauplatz weltlicher und geistlicher Inszenierung in der Spätantike"...

Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with both RGB and optical flow input streams. ...

A collection of Fortran 2003, 90 and 77 routines, modules and programs for automatic simulation based global constrained optimisation. The initial application is for FE simulation of elasto-plastic buckling of steel rods aimed at tuning the hardening model. Unix shell scripts are used extensively. High concurrency is achieved with parallel multi-start global search and with parallel MPI FE. Powell's BOBYQA or LINCOA are used (not included in this package). Automatic mesh generation of 3D cylinders is provided + automatic boundary conditions, all via Fortran and shell scripting.

Cortez, for create new news service model for RSS and blogging. Cortez will just offer the environment to create post, read news thru RSS(ATOM) and syndicate within the multiple blogs.