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── 99142 repos indexed ── | filtered by tag: #spatial-pre-training
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QitaoZhao/E-RayZer ★ 312 17 APPLICATION

E-RayZer is a self-supervised 3D reconstruction system that takes unordered multi-view images as input and outputs estimated camera poses, target-view renders, Gaussian point clouds, and turntable videos. The system uses a transformer-based architecture to estimate camera poses and scene representations, then renders novel views using differentiable Gaussian splatting. It includes a Gradio demo interface for easy inference, along with training and evaluation scripts for the DL3DV dataset. The model is trained without ground truth camera poses or depth information, learning to reconstruct 3D scenes purely from multi-view image consistency.

RATING: 8.7/10 MAINT: active DRIFT: low
#3d-reconstruction #multi-view-stereo #novel-view-synthesis #gaussian-splatting #self-supervised-learning #camera-pose-estimation #gradio-demo #spatial-pre-training
▸ 3 reusable components found
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