SOTAVerified

Point Cloud Generation

Papers

Showing 1120 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-CD75.68Unverified
2SetVAE1-NNA-CD75.31Unverified
3SoftPointFlow1-NNA-CD70.92Unverified
4DiT-3D1-NNA-CD62.35Unverified
5LION1-NNA-CD53.47Unverified
#ModelMetricClaimedVerifiedStatus
1SoftPointFlow1-NNA-CD62.63Unverified
2PointFlow1-NNA-CD60.65Unverified
3SetVAE1-NNA-CD59.66Unverified
4LION1-NNA-CD54.81Unverified
5DiT-3D1-NNA-CD51.04Unverified
#ModelMetricClaimedVerifiedStatus
1PointFlow1-NNA-CD60.88Unverified
2SoftPointFlow1-NNA-CD59.95Unverified
3SetVAE1-NNA-CD58.76Unverified
4LION1-NNA-CD52.07Unverified
5DiT-3D1-NNA-CD51.99Unverified
#ModelMetricClaimedVerifiedStatus
1LION1-NNA-CD51.85Unverified
2DiT-3DCD50.72Unverified