SOTAVerified

Point Cloud Generation

Papers

Showing 11–20 of 117 papers

TitleStatusHype
Learning to Discretize Denoising Diffusion ODEsCode1
Learning to Drop Points for LiDAR Scan SynthesisCode1
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationCode1
ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point CloudsCode1
Attention-based Transformation from Latent Features to Point CloudsCode1
A Rotation-Invariant Framework for Deep Point Cloud AnalysisCode1
Autoregressive 3D Shape Generation via Canonical MappingCode1
Generative diffusion model with inverse renormalization group flowsCode1
Discrete Point Flow Networks for Efficient Point Cloud GenerationCode1
Learning Gradient Fields for Shape GenerationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PointFlow1-NNA-CD75.68—Unverified
2SetVAE1-NNA-CD75.31—Unverified
3SoftPointFlow1-NNA-CD70.92—Unverified
4DiT-3D1-NNA-CD62.35—Unverified
5LION1-NNA-CD53.47—Unverified
#ModelMetricClaimedVerifiedStatus
1SoftPointFlow1-NNA-CD62.63—Unverified
2PointFlow1-NNA-CD60.65—Unverified
3SetVAE1-NNA-CD59.66—Unverified
4LION1-NNA-CD54.81—Unverified
5DiT-3D1-NNA-CD51.04—Unverified
#ModelMetricClaimedVerifiedStatus
1PointFlow1-NNA-CD60.88—Unverified
2SoftPointFlow1-NNA-CD59.95—Unverified
3SetVAE1-NNA-CD58.76—Unverified
4LION1-NNA-CD52.07—Unverified
5DiT-3D1-NNA-CD51.99—Unverified
#ModelMetricClaimedVerifiedStatus
1LION1-NNA-CD51.85—Unverified
2DiT-3DCD50.72—Unverified