| FIRE: Multi-fidelity Regression with Distribution-conditioned In-context Learning using Tabular Foundation Models added by Syntology |
2026-01 (from id) |
Mohamedelrefaie/DrivAerNet/DrivAerNet_v1/RegDGCNN/model.py 807e9944cdc3c15d |
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| FIRE: Multi-fidelity Regression with Distribution-conditioned In-context Learning using Tabular Foundation Models added by Syntology |
2026-01 (from id) |
Mohamedelrefaie/DrivAerNet/RegDGCNN_SurfaceFields/model_pressure.py 605f3394f021e8a6 |
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| Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance added by Syntology |
2025-08 (from id) |
AIASLab/CFG-ICCV2025/Model/DGCNN.py 9019aa1bd21a7d63 |
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MIT (permissive) |
| Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance added by Syntology |
2025-08 (from id) |
AIASLab/CFG-ICCV2025/Model/ccn.py 0a79ea552f8be96b |
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| Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss |
15 Oct 2024 |
Forrest-110/FluidMotionNet/models/extractor.py 9019aa1bd21a7d63 |
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| Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need |
4 Oct 2024 |
CGCL-codes/UnlearnablePC/model.py 9a8756778dd8234a |
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| Symmetry-Robust 3D Orientation Estimation |
2 Oct 2024 |
cscarv/3d-orienter/ml_models/orienter_model/DGCNNFlipper.py 9a8756778dd8234a |
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| CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation |
23 Jul 2024 |
shimazing/CloudFixer/classifier/models.py 9a8756778dd8234a |
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MIT (permissive) |
| Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion |
3 Jul 2024 |
WHU-USI3DV/EGIInet/models/dec_net.py 4afc8385ea7e18d6 |
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MIT (permissive) |
| DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks |
13 Jun 2024 |
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| LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling |
27 May 2024 |
zyh16143998882/LCM/detection/models/model_3detr_lcm.py 9a8756778dd8234a |
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| Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks |
20 Apr 2024 |
r-pad/taxpose/taxpose/nets/transformer_flow.py a4df418e59bd929e |
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MIT (permissive) |
| Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis |
17 Mar 2024 |
wdttt/LocoTrans/model_equi.py 6dd0e9aa123fafcb |
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| DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction |
12 Mar 2024 |
mohamedelrefaie/drivaernet/DeepSurrogates/DeepSurrogate_models.py 807e9944cdc3c15d |
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| DiffSF: Diffusion Models for Scene Flow Estimation |
8 Mar 2024 |
zhangyushan3/diffsf/models/backbone.py 6106815f95a68b0b |
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| Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds |
8 Mar 2024 |
TRLou/HiT-ADV/model/dgcnn_cls.py 9019aa1bd21a7d63 |
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| GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion |
22 Feb 2024 |
meowuu7/geneoh-diffusion/model/DGCNN.py 0d3c53ea3ea88e3e |
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MIT (permissive) |
| DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning |
5 Jan 2024 |
jinec98/dhgcn/scene_seg/model.py 9019aa1bd21a7d63 |
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| DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning |
5 Jan 2024 |
jinec98/dhgcn/obj_cls/model.py d824c1bbd5cbd1ae |
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| Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly |
13 Sep 2023 |
crtie/leveraging-se-3-equivariance-for-learning-3d-geometric-shape-assembly/NSM/shape_assembly/models/encoder/dgcnn.py e199cd551c1e9c3e |
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| Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly |
13 Sep 2023 |
crtie/leveraging-se-3-equivariance-for-learning-3d-geometric-shape-assembly/NSM/shape_assembly/models/encoder/vn_dgcnn.py 2cda2e4251432e39 |
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| Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation |
23 May 2023 |
heshuting555/pap-fzs3d/models/dgcnn_new.py 9019aa1bd21a7d63 |
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MIT (permissive) |
| Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy |
13 May 2023 |
iyerkrithika21/mesh2ssm_2023/model_autoencoder.py 9a8756778dd8234a |
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| AutoAD: Movie Description in Context |
29 Mar 2023 |
Soldelli/MAD/baselines/VLG-Net/lib/modeling/model.py a010bc0f83e92123 |
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| CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network |
29 Mar 2023 |
RuyiLian/CheckerPose/checkerpose/model/pipeline.py a774849fdc6cb021 |
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| Open-Vocabulary Affordance Detection in 3D Point Clouds |
4 Mar 2023 |
Fsoft-AIC/Open-Vocabulary-Affordance-Detection-in-3D-Point-Clouds/models/openad_dgcnn.py 9019aa1bd21a7d63 |
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MIT (permissive) |
| Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion |
1 Dec 2022 |
ltwu6/cross-pcc/models/model2stage.py 9a8756778dd8234a |
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| TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis |
26 Nov 2022 |
pavlo-melnyk/tetrasphere/tetrasphere/models/utils.py e146f86f54b1a708 |
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MIT (permissive) |
| SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields |
17 Nov 2022 |
anthonysimeonov/relational_ndf/src/rndf_robot/model/layers_equi.py e09e2de9ccd4a1ee |
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MIT (permissive) |
| Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks |
29 Oct 2022 |
sidhikabalachandar/oavnn/model.py c7e5181ff9fc5cd1 |
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| Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis |
28 Oct 2022 |
vinairesearch/selfsup_pcd/pretrain/models/dgcnn_utils.py 41b837a371ec4dfc |
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MIT (permissive) |
| Cross-modal Learning for Image-Guided Point Cloud Shape Completion |
20 Sep 2022 |
diegovalsesia/XMFnet/encoder_dgcnn/dgcnn.py 9a8756778dd8234a |
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MIT (permissive) |
| Cross-modal Learning for Image-Guided Point Cloud Shape Completion |
20 Sep 2022 |
diegovalsesia/XMFnet/decoder/dec_net.py 4afc8385ea7e18d6 |
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MIT (permissive) |
| SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection |
16 Jul 2022 |
Hydragon516/SPSN/model.py abafb47846cac9c6 |
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MIT (permissive) |
| Efficient Human Pose Estimation via 3D Event Point Cloud |
9 Jun 2022 |
masterhow/eventpointpose/models/DGCNN.py ed56c753ee0b0cf9 |
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MIT (permissive) |
| Equivariant Point Cloud Analysis via Learning Orientations for Message Passing |
28 Mar 2022 |
luost26/equivariant-orientedmp/models/cls/oriented_dgcnn.py d98fb5121c2ad8dd |
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MIT (permissive) |
| Is Geometry Enough for Matching in Visual Localization? |
24 Mar 2022 |
dvl-tum/gomatch/gomatch/models/attention.py ef7de4f66e7a8839 |
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MIT (permissive) |
| Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap |
8 Mar 2022 |
Gorilla-Lab-SCUT/QS3/Models_Norm.py 51e61f45df52e4b2 |
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MIT (permissive) |
| CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding |
1 Mar 2022 |
mohamedafham/crosspoint/models/dgcnn.py 4869b05ab4c6b80d |
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| Reliable Inlier Evaluation for Unsupervised Point Cloud Registration |
23 Feb 2022 |
supersyq/rienet/utils.py 11f1fc28e78be11c |
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MIT (permissive) |
| Geometric Transformer for Fast and Robust Point Cloud Registration |
14 Feb 2022 |
weitong8591/differentiable_ransac/model_cl.py 8caef130745ac47b |
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| Benchmarking and Analyzing Point Cloud Classification under Corruptions |
7 Feb 2022 |
jiawei-ren/modelnetc/PointWOLF/model.py 9a8756778dd8234a |
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Apache-2.0 (permissive) |
| Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions |
28 Jan 2022 |
dogyoonlee/RSMix/dgcnn_rsmix/model.py 9a8756778dd8234a |
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MIT (permissive) |
| 3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds |
8 Nov 2021 |
fpthink/V2B/V2B_main/modules/completion_net.py 9a8756778dd8234a |
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MIT (permissive) |
| Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration |
14 Sep 2021 |
Jiang-HB/CEMNet/modules/commons.py fa955b8f5f90de05 |
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MIT (permissive) |
| CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing |
25 Aug 2021 |
kimren227/CSGStumpNet/model.py 9019aa1bd21a7d63 |
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MIT (permissive) |
| Adaptive Graph Convolution for Point Cloud Analysis |
18 Aug 2021 |
hrzhou2/adaptconv-master/sem_seg/models/blocks.py 8847accfbe77bbc6 |
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| Vector Neurons: A General Framework for SO(3)-Equivariant Networks |
25 Apr 2021 |
FlyingGiraffe/vnn-neural-implicits/im2mesh/layers_equi.py e09e2de9ccd4a1ee |
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MIT (permissive) |
| 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding |
30 Mar 2021 |
Gorilla-Lab-SCUT/AffordanceNet/models/dgcnn.py 9019aa1bd21a7d63 |
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MIT (permissive) |
| Robust Point Cloud Registration Framework Based on Deep Graph Matching |
7 Mar 2021 |
zhileichen99/utopic/models/architecture.py 194ab488bb382dbb |
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| Robust Point Cloud Registration Framework Based on Deep Graph Matching |
7 Mar 2021 |
fukexue/RGM/models/Net_noais.py ed8b4f4d1101aff9 |
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| Progressive Correspondence Pruning by Consensus Learning |
3 Jan 2021 |
weitong8591/ars_magsac/networks/clnet.py 98c6b55c0f2b83c0 |
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BSD-3-Clause (permissive) |
| Semantic Graph Based Place Recognition for 3D Point Clouds |
26 Aug 2020 |
kxhit/SG_PR/dgcnn.py 0123cdd1a1578e5f |
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MIT (permissive) |
| Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization |
29 Jul 2020 |
Liumouliu/Deep_blind_PnP/model/ops.py f5dcd38523dc6217 |
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MIT (permissive) |
| G-TAD: Sub-Graph Localization for Temporal Action Detection |
26 Nov 2019 |
Frostinassiky/gtad/gtad_lib/models.py 18b5852ceae36f61 |
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Apache-2.0 (permissive) |
| 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions |
15 May 2019 |
EricDai0/AdvGCGAN/models/dgcnn.py d4e1cb56cdef48af |
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MIT (permissive) |
| Dynamic Graph CNN for Learning on Point Clouds |
24 Jan 2018 |
princeton-vl/SimpleView/dgcnn/pytorch/model.py 9a8756778dd8234a |
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BSD-3-Clause (permissive) |
| Dynamic Graph CNN for Learning on Point Clouds |
24 Jan 2018 |
vinits5/learning3d/models/dgcnn.py 26b869462d7d37e6 |
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MIT (permissive) |
| Dynamic Graph CNN for Learning on Point Clouds |
24 Jan 2018 |
hansen7/NRS_3D/models/dgcnn_cls.py ffacb4286b9c5b79 |
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MIT (permissive) |