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Found 5 papers, 4 papers with code
Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings
We attribute this limitation to the inefficiency of current representations, which lack the compactness required to model the generative models effectively.
Make-A-Shape: a Ten-Million-scale 3D Shape Model
Further, we derive the subband adaptive training strategy to train our model to effectively learn to generate coarse and detail wavelet coefficients.
Generalizable Pose Estimation Using Implicit Scene Representations
Most widely used methods learn to infer the object pose in a discriminative setup where the model filters useful information to infer the exact pose of the object.
Reconstructing editable prismatic CAD from rounded voxel models
Reverse Engineering a CAD shape from other representations is an important geometric processing step for many downstream applications.
Ranked #5 on
CAD Reconstruction
on Fusion 360 Gallery
(IoU metric)
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
Generating shapes using natural language can enable new ways of imagining and creating the things around us.
