Dec. 8, 2023, 9 a.m. | Adnan Hassan

MarkTechPost www.marktechpost.com

How can Neural Radiance Fields (NeRFs) be improved to handle scale variations and reduce aliasing artifacts in scene reconstruction? A new research paper from CMU and Meta addresses this issue by proposing PyNeRF (Pyramidal Neural Radiance Fields). It improves neural radiation fields (NeRFs) by training model heads at different spatial grid resolutions, which helps reduce […]


The post A New AI Research from CMU and Meta Introduces PyNeRF: A Leap in Neural Radiance Fields with Scale-Aware, Grid-Based Rendering appeared first …

ai research ai shorts artificial intelligence cmu computer vision editors pick fields grid issue meta neural radiance fields paper reduce rendering research research paper scale staff tech news technology

More from www.marktechpost.com / MarkTechPost

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US