Marigold V2 turns an image-editing DiT into a single-step model for sharp, detailed…
This is a dev post classified by Jev as Other (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
Marigold V2 turns an image-editing DiT into a single-step model for sharp, detailed dense prediction.📜 Apache 2.0. 🤖 https://www.modelscope.ai/models/huawei-bayerlab/marigold-v2-0 📄 https://modelscope.ai/papers/2609.08084 🏆 Best zero-shot results across all evaluated depth datasets among models trained on comparable data. AbsRel improves by 16%–26% over the previous best on KITTI and ETH3D. 🔍 Fur, foliage, fine wires, and object boundaries stay crisp. The two-stage iREPA and SinkLoss recipe tackles the smoothing and flying-pixel artifacts common in diffusion-based depth models. 🧩 The same fra
Posted by ModelScope (15.4k followers) 5 days ago · 117 likes · 6.2k views · view the original post on X. Kept by the Dev Radar as Other. Tools mentioned: Ling-3.0-flash-Fin.
More dev work like this
- dear rtx 3060 owners, and every 12gb card behind it. bonsai 2 27b dense went from 26 to… — @sudoingX
- Nice: banked codex reset for all of us. — @kimmonismus
- The #Mathematical #Programming - #FPGA. #BigData #Analytics #DataScience #AI… — @gp_pulipaka
- A Constraint Based Approach, ML. #BigData #Analytics #DataScience #AI #MachineLearning… — @gp_pulipaka
- Meet AliceAI-Foundation-80B-A3B-Base: a massive 80B parameter Mixture-of-Experts model… — @HuggingModels
- I am working on a new skill for Antigravity to prepare for Gemini 4, and I decided to… — @IamEmily2050
- There’s no way — @luckeyfaraday
- Cooked up a GLM-5.3-Flash-EXL3–2.32bpw for the 128GB crowd, perfect for your @NVIDIAAI… — @mr_r0b0t
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 12.2k posts from 4.7k X accounts over the last 21 days, 1.4k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 18:06 UTC. Full method.