3D Gaussian Splatting
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- GHARP brings real-time Gaussian head animation to mobile
GHARP is a method for animating 3D human heads in real time from a few images of a subject and a driving expression signal. Its authors say it separates an offline identity-reconstruction stage from a lightweight runtime animation stage optimized for mobile devices. The runtime predicts expression-dependent residuals in the semantically structured latent space of a pretrained reconstruction model. The authors also report that ambiguous body appearance can cause blur and temporal flicker, which they address with a body alignment network. They claim state-of-the-art quality on Ava-256, execution up to 13 times faster on an A100 GPU, and eight times fewer Gaussians; the supplied evidence does not independently verify these results.
Apple Machine Learning Research · 🔥 0 - OuroWorld turns static 3D scenes into endlessly looping 3D cinemagraphs
OuroWorld is a mask-free framework that turns any static 3D Gaussian Splatting scene into a 3D cinemagraph — a dynamic scene with vivid, diverse motion looping seamlessly from any viewpoint. A vision-language model infers plausible dynamics and guides a video model to synthesize a reference video, which is then lifted and completed into multi-view videos. To learn from this imperfect supervision, the authors propose Inconsistency-Robust Periodic 4DGS: a Fourier-series deformation field that guarantees looping by construction, plus a Grounded Drift Field anchored at the reference view to absorb cross-view inconsistency. On 39 reconstructed and generated scenes, OuroWorld outperforms all baselines and wins 70.8%–99.0% of user-study comparisons.
Hugging Face · Papers · 🔥 0
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