ACCV 2026 · Gyeonggwan Lee, Eunsoo Im, Seunghwan Hong, Junghun Suh (Kakao Mobility Corp., Korea University) Pretrained SCCM weights for the main results of the paper (Tab. 1 and the SCCM row of Tab. 2). SCCM makes the coarse stage of a dense matcher sphere-aware for 360° equirectangular (ERP) images, and is instantiated in the RoMa V1 framework. Each file is a torch.save dict holding the model weights under the model key (optimizer state removed). mp3d/sccm.pth is trained on Matterport3D (indoor) and is also the model evaluated zero-shot on Stanford2D3D (indoor, Tab. 1b). holo360d/sccm.pth starts from it and is trained on Holo360D (outdoor, in-the-wild). The baseline rows of the paper…
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Gyeonggwan Lee
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