#optimal-transport

2 articles

01 ·★ MEMBER·PAPER·9 min read Paper Walkthrough: Marigold V2 — Turning an Image Editor Into a State-of-the-Art Depth Estimator on One 32GB GPU How Marigold V2 repurposes an image-editing diffusion transformer (Qwen-Image-Edit) into a state-of-the-art monocular depth estimator using QLoRA and two new losses — explained from first principles through normalization, single-step inference, iREPA, and SinkLoss. 02 ·Probability & Statistics·★ MEMBER·PAPER·11 min read Optimal Transport — The Mathematics of Moving Distributions Optimal transport measures the distance between two probability distributions as the cheapest way to haul sand from one pile into the shape of another. From the definition of the Wasserstein distance to the Sinkhorn algorithm that makes it practical, and on to WGAN, FID and Flow Matching — with numpy code and the failure modes that bite in production.