Скачать или смотреть UniGS: The AI Breakthrough That Redefines 3D Reconstruction

🚀 Ready to revolutionize 3D reconstruction? In this video, you’ll explore *UniGS**—a breakthrough framework that unifies **RGB, depth, normals, and semantic labels* in a single differentiable pipeline.

🔥 What you’ll learn:
How ray-ellipsoid intersection replaces center-based depth for accurate geometry, normals, and rotation-aware rendering
Why analytical gradients enable **geometry optimization during training**—not just color—perfecting surfaces even in textureless regions
The learnable gradient factor: *17% Gaussian pruning* via differentiable removal, boosting efficiency without quality loss
Simultaneous multimodal rendering with consistent loss backpropagation across all outputs
Results: *66.4% better depth accuracy* on Replica, state-of-the-art normals, faster than Normal-GS

Ideal for AI/ML researchers and 3D vision developers using **PyTorch, NeRF, or Gaussian Splatting**.

👉 LIKE if you’re into next-gen 3D AI, SUBSCRIBE for more deep dives, and COMMENT “UNIGS” for the paper breakdown or code guide!

#3DAI #GaussianSplatting #3DReconstruction #UniGS #NeRF #DeepLearning #ComputerVision #MultimodalAI #PyTorch #AIResearch #Shorts
Read more on arxiv by searching for this paper: 2510.12174v1.pdf