AI RESEARCH
3D Multi-View Stylization with Pose-Free Correspondences Matching for Robust 3D Geometry Preservation
arXiv CS.CV
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ArXi:2604.09639v1 Announce Type: new Artistic style transfer is well studied for images and videos, but extending it to multi-view 3D scenes remains difficult because stylization can disrupt correspondences needed by geometry-aware pipelines. Independent per-view stylization often causes texture drift, warped edges, and inconsistent shading, degrading SLAM, depth prediction, and multi-view reconstruction. This thesis addresses multi-view stylization that remains usable for downstream 3D tasks without assuming camera poses or an explicit 3D representation during.