GitHub

[ICME2025] From 2D images to 3D model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion

For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...
GitHub

Anaglyph 3D (red/cyan) render feature for Unity's URP

Anaglyph3D v2 requires Unity 2021.3 with URP 12.1.8 or later. Anaglyph3D v3 requires Unity 2022.1 or later with URP 13.1.7 or later. Render Pass Event Leave at Before Rendering Post Processing for ...
IEEE

Deep Scene Flow Learning: From 2D Images to 3D Point Clouds

Abstract: Scene flow describes the 3D motion in a scene. It can be modeled as a single task or as a composite of the auxiliary tasks of depth, camera motion, and optical flow estimation. Deep learning ...
IEEE

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Abstract: The purpose of this study is to determine whether current video datasets have sufficient data for training very deep convolutional neural networks (CNNs) with spatio-temporal ...