huawei-bayerlab/marigold-v2-0
depth-estimation model by huawei-bayerlab
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Model card & documentation
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Marigold V2 Revisiting Diffusion Transformers for Monocular Depth Estimation ACM Transactions on Graphics (SIGGRAPH Asia 2026) Igor Pavlovic1,2,,†, Thiemo Wandel2,, Anton Obukhov2,§ Luca Bartolomei3, Andrey Davydov2, Fabio Tosi3, Matteo Poggi3, Sabine Süsstrunk1, Dengxin Dai2 1EPFL · 2HUAWEI Bayer Lab · 3University of Bologna Equal contribution · †Internship · §Project lead 2026-12: To appear in ACM Transactions on Graphics 45(6) and to be presented at SIGGRAPH Asia 2026. 2026-09-13: Mirrored on ModelScope: 2026-09-08: Initial release: inference, evaluation, and training code, the released checkpoints, and the demo. Inference, evaluation, and training code lives in the GitHub repository, which downloads this repository and the base model into its assets/ folder: Inference needs about 17 GB of GPU memory at 1024² and 29 GB at 2048², so a 24 GB card covers 1024² and 2048² needs 32 GB. Outputs are affine-invariant, i.e. depth up to an unknown scale and shift per image. Log and…
Read the full model card ↗ · Preview checked 2026-10-30T10:18:28.534Z
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Model overview
huawei-bayerlab/marigold-v2-0 is a depth-estimation model repository published by huawei-bayerlab on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- depth-estimation
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 89
- Hugging Face trending score
- 51
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-08-27T22:54:40.000Z
- Last modified
- 2026-09-13T17:02:10.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen-Image-Edit-2509
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-18T06:35:08.044Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.