Neural Radiance Fields - Groups

Kubric

Neural radiance fields (NeRF) excel at synthesizing new views given multi-view, calibrated images of a static scene. When scenes include distractors, which are not persistent...

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R2-Talker

Realistic real-time talking head synthesis with hash grid landmarks encoding and progressive multilayer conditioning

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Multi-task view synthesis with Neural Radiance Fields

Multi-task view synthesis with neural radiance fields

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DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors

DP-NeRF is a novel NeRF framework from blurry inputs, that imposes two physical priors to effectively construct a clean NeRF.

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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

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Synthetic-NSVF

The dataset used in the paper SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World

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Synthetic-NeRF

The dataset used in the paper SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World

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NeRF-Synthetic

A point cloud rendering method that achieves comparable rendering performance to NeRF.

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NeRF

NeRF [33] has demonstrated amazing ability to synthesize images of 3D scenes from novel views. However, they rely upon specialized volumetric rendering algorithms based on ray...

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LLFF

The LLFF dataset contains 8 forward-facing scenes. Following [19, 26, 35, 42], we take every 8-th image as the novel views for testing. The input views are evenly sampled across...

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10 datasets found