A framework called Policy-as-Data generates task-oriented synthetic HOI data via RL policies in physics simulators, retargets it, and trains diffusion models that generalize to unseen objects and long horizons.
Npga: Neural parametric gaussian avatars
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
representative citing papers
SplatShot is a training-free method that inserts per-step 3DGS refitting and photometric feedback into diffusion denoising to enforce multi-view consistency for single-photo 3D face avatars.
BeyondMimic combines compact motion tracking with a unified guided latent diffusion model to master diverse agile behaviors from human demos and solve unseen downstream tasks via test-time classifier guidance.
Diffusion-based per-view harmonization for lighting-consistent object transfer between 3DGS scenes, using heterogeneous training data and final 3D consolidation.
OctaOctree is a hybrid spatial-angular data structure for neural radiosity that enables real-time, high-quality rendering of glossy global illumination effects.
A neural formulation combining light tracing, normalizing flows, and distilled MLPs to estimate and render appearance of complex luminaires.
citing papers explorer
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Policy-as-Data: Learning Generalizable HOI Diffusion Models from Simulated Physics
A framework called Policy-as-Data generates task-oriented synthetic HOI data via RL policies in physics simulators, retargets it, and trains diffusion models that generalize to unseen objects and long horizons.
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Splatshot: 3D Face Avatar Generation from a Single Unconstrained Photo
SplatShot is a training-free method that inserts per-step 3DGS refitting and photometric feedback into diffusion denoising to enforce multi-view consistency for single-photo 3D face avatars.
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BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion
BeyondMimic combines compact motion tracking with a unified guided latent diffusion model to master diverse agile behaviors from human demos and solve unseen downstream tasks via test-time classifier guidance.
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Lighting-Consistent Object Transfer Across Radiance Fields
Diffusion-based per-view harmonization for lighting-consistent object transfer between 3DGS scenes, using heterogeneous training data and final 3D consolidation.
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OctaOctree Neural Radiosity for Real-time Glossy Material Rendering
OctaOctree is a hybrid spatial-angular data structure for neural radiosity that enables real-time, high-quality rendering of glossy global illumination effects.
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PureLight: Learning Complex Luminaires with Light Tracing
A neural formulation combining light tracing, normalizing flows, and distilled MLPs to estimate and render appearance of complex luminaires.