Fine-tunes EG3D using a human-preference reward on NeRF density to improve face geometry, achieving 74.4% user preference in pairwise tests with FID rising from 4.09 to 6.66.
Deep generative models on 3d rep- resentations: A survey
4 Pith papers cite this work. Polarity classification is still indexing.
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GaussLock embeds traps targeting position, scale, rotation, opacity, and color in 3D Gaussian models to degrade unauthorized fine-tunes while preserving authorized performance.
TripoSR generates 3D meshes from single images in under 0.5 seconds using an improved transformer architecture over LRM.
The book presents principles from optimization and information theory to explain deep network architectures and enable new interpretable models.
citing papers explorer
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Sculpting NeRF Geometry: Human-Preference Fine-Tuning of a 3D-Aware Face GAN
Fine-tunes EG3D using a human-preference reward on NeRF density to improve face geometry, achieving 74.4% user preference in pairwise tests with FID rising from 4.09 to 6.66.
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Immunizing 3D Gaussian Generative Models Against Unauthorized Fine-Tuning via Attribute-Space Traps
GaussLock embeds traps targeting position, scale, rotation, opacity, and color in 3D Gaussian models to degrade unauthorized fine-tunes while preserving authorized performance.
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TripoSR: Fast 3D Object Reconstruction from a Single Image
TripoSR generates 3D meshes from single images in under 0.5 seconds using an improved transformer architecture over LRM.
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Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory
The book presents principles from optimization and information theory to explain deep network architectures and enable new interpretable models.