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Neural Rendering

Given a representation of a 3D scene of some kind (point cloud, mesh, voxels, etc.), the task is to create an algorithm that can produce photorealistic renderings of this scene from an arbitrary viewpoint. Sometimes, the task is accompanied by image/scene appearance manipulation.

Papers

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Showing 476–500 of 514 papers

TitleStatusHype
Learning Compositional Radiance Fields of Dynamic Human Heads—0
AutoInt: Automatic Integration for Fast Neural Volume RenderingCode1
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image SynthesisCode1
D-NeRF: Neural Radiance Fields for Dynamic ScenesCode1
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature FieldsCode2
Recurrent Multi-view Alignment Network for Unsupervised Surface RegistrationCode1
Neural Scene Graphs for Dynamic ScenesCode1
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering—0
Cut-and-Paste Object Insertion by Enabling Deep Image Prior for Reshading—0
Layered Neural Rendering for Retiming People in VideoCode0
TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point RendererCode1
Fast Bi-layer Neural Synthesis of One-Shot Realistic Head AvatarsCode1
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications—0
HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization—0
Crowdsampling the Plenoptic FunctionCode1
End-to-End Optimization of Scene LayoutCode1
Learning Adaptive Sampling and Reconstruction for Volume VisualizationCode1
Pose2RGBD. Generating Depth and RGB images from absolute positionsCode0
Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition—0
Towards a Neural Graphics Pipeline for Controllable Image Generation—0
Equivariant Neural RenderingCode1
CONFIG: Controllable Neural Face Image GenerationCode1
Self6D: Self-Supervised Monocular 6D Object Pose EstimationCode1
Sequential View Synthesis with Transformer—0
State of the Art on Neural Rendering—0
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