ibrnet.github.io - IBRNet: Learning Multi-View Image-Based Rendering

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Description: IBRNet: Learning Multi-View Image-Based Rendering.

ibrnet (1) ray transformer (1)

Example domain paragraphs

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 render time, our method hearkens back to classic work on image-based

Links to ibrnet.github.io (7)

• jonbarron.info Jon Barron
• pratulsrinivasan.github.io Pratul Srinivasan
• ricardomartinbrualla.com Ricardo Martin-Brualla
• omniobject3d.github.io OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
• qianqianwang68.github.io Qianqian Wang
• minoring.github.io Minho Heo
• snavely.io Noah Snavely—Cornell Computer Science, Cornell Tech