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Reconstruction of two dynamic scenes from monocular video; dynamic scenes show camera frustums indicating recording trajectory of the input video

D-NPC: Dynamic Neural Point Clouds for Non-Rigid View Synthesis from Monocular Video

Oral Presentation Image-based renderingPoint-based modelsReconstructionRasterization

Eurographics (Computer Graphics Forum), 2025
Computer Graphics Lab
TU Braunschweig Moritz Kappel, Computer Graphics Lab
TU Braunschweig Florian Hahlbohm, Computer Graphics Lab
TU Braunschweig Timon Scholz, Computer Graphics Lab
TU Braunschweig Susana Castillo, Max Planck Institute for Informatics
Saarland Informatics Campus Christian Theobalt, Computer Graphics Lab
TU Braunschweig Martin Eisemann, Max Planck Institute for Informatics
Saarland Informatics Campus Vladislav Golyanik, Computer Graphics Lab
TU Braunschweig Marcus Magnor

D-NPC enables fast, non-rigid view synthesis from monocular video by expanding extending Implicit Neural Point Clouds (INPC) to the temporal domain.

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