AI succeeds in generating animated 3D objects from ordinary photos
• A research team at Simon Fraser University has overcome the limitations of traditional photogrammetry with a new method, Proximity Attention Point Rendering (PAPR), which uses AI to generate 3D representations of objects from 2D photos.
• Solely focusing on recording points on object surfaces, the new method allows for complete control over the form and appearance of the 3D models it generates.
• The innovation could soon pave the way for the generation of 3D personal avatars and the reconstruction of 3D models of sites from standard photographs.
Read the article
• Solely focusing on recording points on object surfaces, the new method allows for complete control over the form and appearance of the 3D models it generates.
• The innovation could soon pave the way for the generation of 3D personal avatars and the reconstruction of 3D models of sites from standard photographs.
L4S, a technological base to bring low latency networks to life
Read the article
Evaluating the Effectiveness of Collaborative Augmented Reality
Read the article
Immersive Technologies White Paper: Exploring the Responsibility of Metaverses
Read the article
The Universal Interface and Many Other Innovations of Software République’s Concept Car
Read the article