SOTAVerified

Point Cloud Generation

Papers

Showing 1–50 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
Generative AI Empowered LiDAR Point Cloud Generation with Multimodal Transformer—0
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets—0
Taming Transformers for Realistic Lidar Point Cloud GenerationCode1
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization—0
LidarDM: Generative LiDAR Simulation in a Generated WorldCode2
Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint—0
Exploiting Topological Priors for Boosting Point Cloud Generation—0
RangeLDM: Fast Realistic LiDAR Point Cloud GenerationCode1
A Lennard-Jones Layer for Distribution Normalization—0
General Point Model Pretraining with Autoencoding and AutoregressiveCode0
TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion ProcessCode1
Unveiling Spaces: Architecturally meaningful semantic descriptions from images of interior spaces—0
Point Cloud Part Editing: Segmentation, Generation, Assembly, and SelectionCode1
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation—0
UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised ReconstructionCode0
WonderJourney: Going from Anywhere to Everywhere—0
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation—0
General Point Model with Autoencoding and Autoregressive—0
Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation—0
LiDAR Data Synthesis with Denoising Diffusion Probabilistic ModelsCode1
Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection—0
Select-and-Combine (SAC): A Novel Multi-Stereo Depth Fusion Algorithm for Point Cloud Generation via Efficient Local Markov Netlets—0
Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation—0
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality FusionCode1
Patch-Wise Point Cloud Generation: A Divide-and-Conquer ApproachCode0
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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