Search Results for author: Kiyohiro Nakayama

Found 3 papers, 0 papers with code

ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process

no code implementations16 Jan 2024 Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonidas Guibas

We introduce ProvNeRF, a model that enriches a traditional NeRF representation by incorporating per-point provenance, modeling likely source locations for each point.

Novel View Synthesis

NeRF Revisited: Fixing Quadrature Instability in Volume Rendering

no code implementations NeurIPS 2023 Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas Guibas, Ke Li

Volume rendering requires evaluating an integral along each ray, which is numerically approximated with a finite sum that corresponds to the exact integral along the ray under piecewise constant volume density.

DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion

no code implementations ICCV 2023 Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J Guibas

We propose a factorization that models independent part style and part configuration distributions and presents a novel cross-diffusion network that enables us to generate coherent and plausible shapes under our proposed factorization.

Point Cloud Generation

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