SOTAVerified

Point Cloud Generation

Papers

Showing 150 of 117 papers

TitleStatusHype
Simultaneous Localization and Mapping Using Active mmWave Sensing in 5G NR0
RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles0
SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification0
Flexible-weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion0
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 Attacks0
3D Point Cloud Generation via Autoregressive Up-sampling0
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 Generation0
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 Generation0
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones0
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions0
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 Conditions0
Deformable 3D Shape Diffusion Model0
Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer0
RGB2Point: 3D Point Cloud Generation from Single RGB Images0
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space0
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 Transformer0
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets0
Taming Transformers for Realistic Lidar Point Cloud GenerationCode1
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization0
LidarDM: Generative LiDAR Simulation in a Generated WorldCode2
Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint0
Exploiting Topological Priors for Boosting Point Cloud Generation0
RangeLDM: Fast Realistic LiDAR Point Cloud GenerationCode1
A Lennard-Jones Layer for Distribution Normalization0
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 spaces0
Point Cloud Part Editing: Segmentation, Generation, Assembly, and SelectionCode1
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation0
UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised ReconstructionCode0
WonderJourney: Going from Anywhere to Everywhere0
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation0
General Point Model with Autoencoding and Autoregressive0
Improving Neural Radiance Field using Near-Surface Sampling with Point Cloud Generation0
LiDAR Data Synthesis with Denoising Diffusion Probabilistic ModelsCode1
Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection0
Select-and-Combine (SAC): A Novel Multi-Stereo Depth Fusion Algorithm for Point Cloud Generation via Efficient Local Markov Netlets0
Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation0
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality FusionCode1
Patch-Wise Point Cloud Generation: A Divide-and-Conquer ApproachCode0
Show:102550
← PrevPage 1 of 3Next →

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