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cs.CV2024
FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent
Cameron Smith, David Charatan, Ayush Tewari +1
This paper introduces FlowMap, an end-to-end differentiable method that solves for precise camera poses, camera intrinsics, and per-frame dense depth of a video sequence. Our metho…
cs.CV2024
In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing
Yiran Xu, Zhixin Shu, Cameron Smith +2
3D-aware GANs offer new capabilities for view synthesis while preserving the editing functionalities of their 2D counterparts. GAN inversion is a crucial step that seeks the latent…