SOTAVerified

Point Cloud Generation

Papers

Showing 1–25 of 117 papers

TitleStatusHype
Simultaneous Localization and Mapping Using Active mmWave Sensing in 5G NR—0
RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles—0
SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification—0
Flexible-weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion—0
TopoDiT-3D: Topology-Aware Diffusion Transformer with Bottleneck Structure for 3D Point Cloud GenerationCode1
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks—0
3D Point Cloud Generation via Autoregressive Up-sampling—0
EAGLE: Contextual Point Cloud Generation via Adaptive Continuous Normalizing Flow with Self-AttentionCode0
Generative diffusion model with inverse renormalization group flowsCode1
SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation—0
ObitoNet: Multimodal High-Resolution Point Cloud ReconstructionCode0
PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose ClothingCode1
Parameterize Structure with Differentiable Template for 3D Shape Generation—0
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones—0
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions—0
Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion ModelsCode2
Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions—0
Deformable 3D Shape Diffusion Model—0
Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer—0
RGB2Point: 3D Point Cloud Generation from Single RGB Images—0
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space—0
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiTCode7
L-MAGIC: Language Model Assisted Generation of Images with CoherenceCode0
ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point CloudsCode1
Learning to Discretize Denoising Diffusion ODEsCode1
Show:102550
← PrevPage 1 of 5Next →

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