SOTAVerified

Point Cloud Generation

Papers

Showing 1120 of 117 papers

TitleStatusHype
Generative diffusion model with inverse renormalization group flowsCode1
Learning to Generate Realistic LiDAR Point CloudsCode1
Learning Gradient Fields for Shape GenerationCode1
ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point CloudsCode1
Autoregressive 3D Shape Generation via Canonical MappingCode1
Attention-based Transformation from Latent Features to Point CloudsCode1
A Rotation-Invariant Framework for Deep Point Cloud AnalysisCode1
Discrete Point Flow Networks for Efficient Point Cloud GenerationCode1
Diffusion Probabilistic Models for 3D Point Cloud GenerationCode1
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality FusionCode1
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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