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[Feature] SenseNova-U1.5-8B-MoT #1841

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@GreenShadows

Feature Summary

SenseNova-U1.5 is a natively unified multimodal model built on NEO-unify, featuring new patch encoding and decoding layers.

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"SenseNova-U1's original MLP head reconstructs each RGB patch independently. At high resolutions, this can expose token boundaries as grid patterns, seams, or texture discontinuities. SenseNova-U1.5 instead adopts progressive spatial reconstruction via ConvDecoder: visual tokens are reshaped into a two-dimensional feature grid and upsampled through multiple Pixel Shuffle stages, with intermediate 3×3 convolutions enabling neighboring patches to interact and merge into a more continuous image.

Qualitative results show that this design substantially suppresses grid-like artifacts throughout pre-training. It also improves robustness during downstream adaptation, reducing the likelihood that similar artifacts re-emerge when fine-tuning on new domains."

HF: https://huggingface.co/sensenova/SenseNova-U1.5-8B-MoT-Preview

GitHub: https://github.com/OpenSenseNova/SenseNova-U1

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