Marigold V2: Diffusion Transformer Becomes SOTA Monocular Depth Estimator With Single-Step Inference
AntonObukhov1 · x · 2026-09-12
Marigold V2 is out: a diffusion transformer fine-tuned into a state-of-the-art monocular depth estimator.
Key selling point is efficiency — it supports single-step inference, and training is possible on a single consumer GPU, sharply lowering the barrier for researchers. Released via the Hugging Face ecosystem.
Related event: Marigold V2 Achieves SOTA Monocular Depth Estimation in a Single Step(2 posts)→
More from Research
- Cherimoya Binding Atlas BATv1: 46k-param genomic models for 3,429 TF binding experiments — jmschreiber91 · 2026-10-31
- Heads Of Security: paper pinpoints and rewires attention heads behind prompt injections — jonasgeiping · 2026-10-31
- BATv1: 17,145 Cherimoya models map TF binding across 3,429 ENCODE ChIP-seq experiments — jmschreiber91 · 2026-10-31
- UCLA's ChairNav teaches autonomous wheelchairs to learn each rider's preferences — zhoubolei · 2026-10-31
- How much compute should data rewriting get? New scaling-law study quantifies it — ChengleiSi · 2026-10-31
- Open-source sticker library covers all 11,064 living bird species, drawn by AI — AlchainHust · 2026-10-31