- Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
- NeX: Real-time View Synthesis with Neural Basis Expansion
- AutoInt: Automatic Integration for Fast Neural Volume Rendering
- Learned Initializations for Optimizing Coordinate-Based Neural Representations
- A-NeRF: Surface-free Human 3D Pose Refinement via Neural Rendering
- NeRD: Neural Reflectance Decomposition from Image Collections
- NeRF++: Analyzing and Improving Neural Radiance Fields
- iNeRF: Inverting Neural Radiance Fields for Pose Estimation
- NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
- Mixture of Volumetric Primitives for Efficient Neural Rendering
- Portrait Neural Radiance Fields from a Single Image
- FastNeRF: High-Fidelity Neural Rendering at 200FPS
- NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
- Neural Sparse Voxel Fields
- DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks
- D-NeRF: Neural Radiance Fields for Dynamic Scenes
- KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
- ShaRF: Shape-conditioned Radiance Fields from a Single View
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
- DeRF: Decomposed Radiance Fields
- Pixel-aligned Volumetric Avatars
- PlenOctrees for Real-time Rendering of Neural Radiance Fields
- Neural 3D Video Synthesis
- Unconstrained Scene Generation with Locally Conditioned Radiance Fields
- GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
- Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans
- Neural Articulated Radiance Field
- pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
- Nerfies: Deformable Neural Radiance Fields
- pixelNeRF: Neural Radiance Fields from One or Few Images
- NeRF-VAE: A Geometry Aware 3D Scene Generative Model
- GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
- Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
- GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering
- Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
- Object-Centric Neural Scene Rendering
- CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields
- IBRNet: Learning Multi-View Image-Based Rendering
- In-Place Scene Labelling and Understanding with Implicit Scene Representation
- Neural Radiance Flow for 4D View Synthesis and Video Processing
- iMAP: Implicit Mapping and Positioning in Real-Time
- NeRF−−: Neural Radiance Fields Without Known Camera Parameters
- Space-time Neural Irradiance Fields for Free-Viewpoint Video
- Neural Scene Graphs for Dynamic Scenes
- Learning Compositional Radiance Fields of Dynamic Human Heads
manjunath5496/Neural-Radiance-Fields-Papers
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