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IBRNet: Learning Multi-View Image-Based Rendering.
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2026-02-18 20:47:59
raw text
IBRNet: Learning Multi-View Image-Based Rendering IBRNet: Learning Multi-View Image-Based Rendering Qianqian Wang 1,2 , Zhicheng Wang 1 , Kyle Genova 1,3 , Pratul Srinivasan 1 , Howard Zhou 1 , Jonathan T. Barron 1 , Ricardo Martin-Brualla 1 , Noah Snavely 1,2 , Thomas Funkhouser 1,3 1 Google Research 2 Cornell Tech, Cornell University 3 Princeton University CVPR 2021 Paper Code *Results above are generated using our single pretrained model without per-scene optimization Abstract We present a method that synthesizes novel views of complex scenes by interpolating a sparse set of nearby views. The core of our method is a network architecture that includes a multilayer perceptron and a ray transformer that estimates radiance and volume density at continuous 5D locations (3D spatial locations and 2D viewing directions), drawing appearance information on the fly from multiple source views. By drawing on source views at rend...
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