Splats in Splats++ embeds messages into 3DGS via importance-graded SH encryption, hash-grid opacity mapping, and a gradient-gated consistency loss, achieving higher fidelity and robustness than prior methods.
Nerf: Representing scenes as neural radiance fields for view synthesis,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2representative citing papers
A framework is introduced to systematically assess the reconstruction fidelity of 3D Gaussian Splatting for vehicles and pedestrians in autonomous driving scenes from novel lateral and longitudinal viewpoints.
citing papers explorer
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Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography
Splats in Splats++ embeds messages into 3DGS via importance-graded SH encryption, hash-grid opacity mapping, and a gradient-gated consistency loss, achieving higher fidelity and robustness than prior methods.
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From Concept to Capability: Evaluating 3D Gaussian Splatting for Synthetic Scene Editing in Autonomous Driving
A framework is introduced to systematically assess the reconstruction fidelity of 3D Gaussian Splatting for vehicles and pedestrians in autonomous driving scenes from novel lateral and longitudinal viewpoints.