Search Results for "model-builder"

...It also integrates Gradient Blending, an audio-visual modeling method that fuses modalities effectively (available in the Caffe2 implementation). Although VMZ is now archived and no longer actively maintained, it remains a valuable reference for understanding early large-scale video model training, transfer learning, and multimodal integration strategies that influenced modern architectures like SlowFast and X3D.

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. Unlike voxel-based or point-based approaches, Mesh R-CNN uses a differentiable mesh representation, allowing it to efficiently refine surface geometry while maintaining high spatial detail. ...

...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 available as a Linux 'no-install', multi-platform AppImage. Portions of LPub3D are based on LPUB© 2007-2009 Kevin Clague, LeoCAD© 2025 Leonardo Zide, LDView© 2025 Travis Cobbs & Peter Bartfai and additional third party components. ...

...The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. This approach achieves improved geometric consistency and visual stability compared to prior monocular reconstruction methods. The project can process challenging hand-held video footage, including those with moderate dynamic motion, making it practical for real-world usage.

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" (http://gepris.dfg.de/gepris/projekt/5194526). Theophanu is implemented as a set of Makefiles, that are understood by gnumake (and possibly other, compatible software). ...

This bunch of scripts aims to provide an easy way to build DVD from DV files. For the dv tape a main menu with days and for each day a sequence of menu for hours. Templating is available.