Unverified50% confidenceFactExact time
In DePoser, the depth foundation model is used to generate 3D geometric supervision signals for local data, automatically producing pseudo-annotations of human meshes combined with human priors or 2D keypoints.
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50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
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Related Claims
UnverifiedGeometric foundation models are a class of models pretrained on large-scale 3D data or multi-view data that can output feature representations with geometric awareness, with representative works including pretrained backbones based on multi-view stereo, point clouds or neural radiance fields.70% similarUnverifiedDuring inference, the model processes input triplets group by group in an autoregressive manner along the depth axis.69% similarUnverifiedDeep recursive reasoning models refer to a class of neural network architectures that gradually refine internal representations through multiple iterations of forward computation.69% similarUnverifiedReal-time classifiers are auxiliary neural networks deployed in model inference pipelines, typically built on fine-tuned small language models or BERT-class architectures.65% similarUnverifiedDePoser is a local annotation and fine-tuning pipeline combining depth foundation models, used to adapt a collaboratively trained HMR model to the end user's own data distribution.65% similar
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