Learn to understand common print quality issues, explore new build materials, or discover new settings that can improve your results. Simplify3D has worked closely with OEM partners around the world to …

May 7, 2025 · Generating high-quality 3D models from 2D sketches is a challenging task due to the inherent ambiguity and sparsity of sketch data. In this paper, we present S3D, a novel framework …

In this video, Sam introduces you to SkyCiv S3D modeling and results. 0:00 Introduction 0:58 User interface 2:56 Modeling 12:45 Applying Loads And Load Combos 15:32 Performing An Analysis For …

Apr 26, 2025 · Generating high-quality 3D models from 2D sketches is a challenging task due to the inherent ambiguity and sparsity of sketch data. In this paper, we present S3D, a novel framework …

This is the Documentation for the S3D and it's Development Libraries.

We propose S3D, an end-to-end pipeline for sketch-based 3D face model generation. We integrate a U-Net and a tri-plane-based 3D model generation network to achieve high-quality outputs.

In this repository, we release the pretrained S3D network in PyTorch. We pretrained S3D on Kinetics-400 dataset and it achieves 72.08% top1 accuracy (top5: 90.35%) on the validation set of the dataset.

Get in-depth tutorials for beginners and advanced developers. Find development resources and get your questions answered.

May 7, 2025 · Generating high-quality 3D models from 2D sketches is a challenging task due to the inherent ambiguity and sparsity of sketch data. In this paper, we present S3D, a novel framework …

The S3D action recognition model was originally introduced in Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. We support the PyTorch weights for …