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.


IoT and robotics: the need for privacy-preserving cameras
Read the article
Controversies around AI: from ethical questions to legal regulation
Read the article
50G-PON: Orange paves the way for the fiber of the future
Read the article
New algorithmic challenges for network virtualisation
Read the article
Achieving quantum communications via existing fiber infrastructures
Read the article