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Found 3 papers, 1 papers with code
Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features
We present Diff3F as a simple, robust, and class-agnostic feature descriptor that can be computed for untextured input shapes (meshes or point clouds).
Ranked #1 on
3D Dense Shape Correspondence
on SHREC'19
A study of traits that affect learnability in GANs
Generative Adversarial Networks GANs are algorithmic architectures that use two neural networks, pitting one against the opposite so as to come up with new, synthetic instances of data that can pass for real data.
ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context
We evaluate our setup on a variety of examples to demonstrate appearance and geometric edits and report 10-30x speedup over concurrent work focusing on text-guided NeRF editing.
