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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 111–120 of 514 papers

TitleStatusHype
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric VoxelizationCode1
One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume DistillationCode1
NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXerCode1
ENVIDR: Implicit Differentiable Renderer with Neural Environment LightingCode1
Geometry-Aware Attenuation Learning for Sparse-View CBCT ReconstructionCode1
Data Augmentation for Object Detection via Differentiable Neural RenderingCode1
CVTHead: One-shot Controllable Head Avatar with Vertex-feature TransformerCode1
3DGEER: Exact and Efficient Volumetric Rendering with 3D GaussiansCode1
GeoNeRF: Generalizing NeRF with Geometry PriorsCode1
ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face SynthesisCode1
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