Neural Radiance Fields - Groups

NeRF-Det++

NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D Detection

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PixelNeRF

PixelNeRF: Neural Radiance Fields from one or few images

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IBRNet

The IBRNet dataset contains 10 scenes, each with 60 training views (with the object to be removed), 40 test views (without the object), and human-annotated object masks per view.

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SPIn-NeRF

The SPIn-NeRF dataset contains 10 scenes, each with 60 training views (with the object to be removed), 40 test views (without the object), and human-annotated object masks per...

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FreqMipAA: Frequency Domain Anti-Aliasing for Neural Radiance Fields

Neural Radiance Fields (NeRF) have shown remarkable suc-cess in representing 3D scenes and generating novel views. However, they often struggle with aliasing artifacts,...

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Clip-nerf: Text-and-image driven manipulation of neural radiance fields

A dataset of 3D shapes and textures for text-driven 3D manipulation.

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3D Density-Gradient Based Edge Detection on Neural Radiance Fields

Generating geometric 3D reconstructions from Neural Radiance Fields (NeRFs) is of great interest. However, accurate and complete reconstructions based on the density values are...

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Real Forward-Facing dataset

The Real Forward-Facing dataset is a dataset for training neural radiance fields.

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Realistic Synthetic NeRF dataset

The Realistic Synthetic NeRF dataset is a dataset for training neural radiance fields.

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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

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D-NeRF

D-NeRF: Neural Radiance Fields for Dynamic Scenes

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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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56 datasets found