Christoph Lassner
Christoph Lassner
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SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes
Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient
Neural Lens Modeling
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation
Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments
SSDNeRF: Semantic Soft Decomposition of Neural Radiance Fields
Human View Synthesis using a Single Sparse RGB-D Input
TAVA: Template-free Animatable Volumetric Actors
Efficient Estimation of Boundary Integrals for Path-Space Differentiable Rendering
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture
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