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We introduce FlowIBR, a novel approach for efficient monocular novel view synthesis of dynamic scenes.
On the Mathematical Properties of the Structural Similarity Index
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
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RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
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Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera
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NeRF++: Analyzing and Improving Neural Radiance Fields
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Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan · 2021
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MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
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Neural Radiance Flow for 4D View Synthesis and Video Processing
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Dynamic View Synthesis from Dynamic Monocular Video
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Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
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Neural Scene Graphs for Dynamic Scenes
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D-NeRF: Neural Radiance Fields for Dynamic Scenes
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Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction
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IBRNet: Learning Multi-View Image-Based Rendering
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Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
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Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time
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HexPlane: A Fast Representation for Dynamic Scenes
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Learning To Render Novel Views From Wide-Baseline Stereo Pairs
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MD-Splatting: Learning Metric Deformation from 4D Gaussians in Highly Deformable Scenes
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Space-time Neural Irradiance Fields for Free-Viewpoint Video
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pixelNeRF: Neural Radiance Fields from One or Few Images
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Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman · 2022
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Fast Dynamic Radiance Fields with Time-Aware Neural Voxels
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Monocular Dynamic View Synthesis: A Reality Check
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K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
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Forward Flow for Novel View Synthesis of Dynamic Scenes
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Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering
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Is Attention All That NeRF Needs?
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MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos
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4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
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Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fields
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Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis
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