3D Reconstruction / Neural Networks and Deep Learning

VFusion3D: Advanced 3D Generative Modeling via Scalable Video Diffusion

10 August 2024

VFusion3D: Advanced 3D Generative Modeling via Scalable Video Diffusion

VFusion3D introduces a novel method in 3D generative modeling by utilizing video diffusion models to overcome the scarcity of 3D data. The model generates meshes in .obj format, which can…

NVIDIA FlexiCubes: Crafting 3D Grids Using Adaptive Parameters

13 August 2023

NVIDIA FlexiCubes: Crafting 3D Grids Using Adaptive Parameters

NVIDIA has introduced FlexiCubes – a method for generating 3D grids of objects through adaptive parameters. This innovation is designed to deliver the highest quality grids, catering to a wide…

PIFR: Pose Invariant 3D Face Reconstruction

26 November 2018

PIFR: Pose Invariant 3D Face Reconstruction

3D face geometry needs to be recovered from 2D images in many real-world applications, including face recognition, face landmark detection, 3D emoticon animation etc. However, this task remains challenging especially…

3D Hair Reconstruction Out of In-the-Wild Videos

22 October 2018

3D Hair Reconstruction Out of In-the-Wild Videos

3D hair reconstruction is a problem with numerous applications in different areas such as Virtual Reality, Augmented Reality, video games, medical software, etc. As a non-trivial problem, researchers have proposed…

Head Reconstruction from Internet Photos

15 October 2018

Head Reconstruction from Internet Photos

Methods that reconstruct 3D models of people’s heads from images need to account for varying 3D pose, lighting, non-rigid changes due to expressions, relatively smooth surfaces of faces, ears, and…