TOC-SR builds a compact one-step diffusion model for image super-resolution achieving 6.6x fewer parameters and 2.8x fewer GMACs while maintaining strong reconstruction quality.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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A pipeline using SAM segmentation and Hi3DGen mesh generation, evaluated on 69 medieval figures, produces usable 3D models for XR and tactile applications with Hi3DGen as the best starting point.
SpectralSplat disentangles appearance from geometry in feed-forward 3D Gaussian Splatting by factoring color into base and adapted streams conditioned on DINOv2 embeddings, trained on paired data from a hybrid relighting pipeline.
citing papers explorer
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TOC-SR: Task-Optimal Compact diffusion for Image Super Resolution
TOC-SR builds a compact one-step diffusion model for image super-resolution achieving 6.6x fewer parameters and 2.8x fewer GMACs while maintaining strong reconstruction quality.
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A Semi-Automated Framework for 3D Reconstruction of Medieval Manuscript Miniatures
A pipeline using SAM segmentation and Hi3DGen mesh generation, evaluated on 69 medieval figures, produces usable 3D models for XR and tactile applications with Hi3DGen as the best starting point.
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SpectralSplat: Appearance-Disentangled Feed-Forward Gaussian Splatting for Driving Scenes
SpectralSplat disentangles appearance from geometry in feed-forward 3D Gaussian Splatting by factoring color into base and adapted streams conditioned on DINOv2 embeddings, trained on paired data from a hybrid relighting pipeline.