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# 深度估計
Lotus Depth G V2 1 Disparity
Apache-2.0
蓮花模型系列中的深度估計模型，採用擴散模型技術實現高質量密集預測
3D視覺
L
jingheya
517
2
Metric3d Vit Small
基於 transformers.js 的深度估計模型，用於從單張圖像預測深度信息。
3D視覺
Transformers
TransformersM
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2
Dpt Hybrid Midas
Intel開發的混合深度估計模型，結合了卷積神經網絡和Transformer架構的優勢
3D視覺 Transformers
TransformersD
Xenova
23
0
Dpt Dinov2 Giant Kitti
Apache-2.0
使用DINOv2作為骨幹網絡的DPT框架，用於深度估計任務。
3D視覺 Transformers
TransformersD
facebook
56
0
Dpt Dinov2 Large Kitti
Apache-2.0
該模型採用DINOv2作為骨幹網絡的DPT框架，專注於深度估計任務。
3D視覺 Transformers
TransformersD
facebook
26
2
Dpt Dinov2 Large Nyu
Apache-2.0
該模型採用DINOv2骨幹網絡構建的DPT框架，用於深度估計任務。
3D視覺 Transformers
TransformersD
facebook
80
1
Dpt Dinov2 Base Nyu
Apache-2.0
採用DINOv2作為骨幹網絡的DPT模型，用於深度估計任務。
3D視覺 Transformers
TransformersD
facebook
146
0
Dpt Dinov2 Base Kitti
Apache-2.0
使用DINOv2作為骨幹網絡的DPT框架，用於深度估計任務
3D視覺 Transformers
TransformersD
facebook
446
2
Dpt Dinov2 Small Kitti
Apache-2.0
採用DINOv2作為骨幹網絡的DPT模型，用於深度估計任務。
3D視覺 Transformers
TransformersD
facebook
710
7
Dpt Dinov2 Small Nyu
Apache-2.0
採用DINOv2作為骨幹網絡的DPT模型，用於深度估計任務。
3D視覺 Transformers
TransformersD
facebook
23
2
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