repo_url
stringlengths 26
200
| paper_url
stringlengths 36
81
| paper_title
stringlengths 3
229
⌀ | paper_arxiv_id
stringlengths 9
16
| framework
stringclasses 9
values | official_status
stringclasses 2
values | mention_source
stringclasses 3
values |
|---|---|---|---|---|---|---|
https://github.com/littledang/2dliw-slam
|
https://paperswithcode.com/paper/2dliw-slam-2d-lidar-inertial-wheel-odometry
|
2DLIW-SLAM:2D LiDAR-Inertial-Wheel Odometry with Real-Time Loop Closure
|
2404.07644
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/atlasanalyticslab/2dmamba
|
https://paperswithcode.com/paper/2dmamba-efficient-state-space-model-for-image
|
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
|
2412.00678
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/siriusxiao62/2DNMRGym
|
https://paperswithcode.com/paper/2dnmrgym-an-annotated-experimental-dataset
|
2DNMRGym: An Annotated Experimental Dataset for Atom-Level Molecular Representation Learning in 2D NMR via Surrogate Supervision
|
2505.18181
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/kai-liu001/2dquant
|
https://paperswithcode.com/paper/2dquant-low-bit-post-training-quantization
|
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
|
2406.06649
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/mbkiss/2detectcodes
|
https://paperswithcode.com/paper/2detect-a-large-2d-expandable-trainable
|
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning
|
2306.05907
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/uts-ri/2fast2lamaa
|
https://paperswithcode.com/paper/2fast-2lamaa-a-lidar-inertial-localisation
|
2FAST-2LAMAA: A Lidar-Inertial Localisation and Mapping Framework for Non-Static Environments
|
2410.05433
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/marcel-krause/2HDECAY
|
https://paperswithcode.com/paper/2hdecay-a-program-for-the-calculation-of
|
2HDECAY - A program for the Calculation of Electroweak One-Loop Corrections to Higgs Decays in the Two-Higgs-Doublet Model Including State-of-the-Art QCD Corrections
|
1810.00768
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/diffblue/2ls
|
https://paperswithcode.com/paper/2ls-for-program-analysis
|
2LS for Program Analysis
|
2302.02380
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/mecarill/2pcnet
|
https://paperswithcode.com/paper/2pcnet-two-phase-consistency-training-for-day
|
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
|
2303.13853
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/islab-sophia/2s-odis
|
https://paperswithcode.com/paper/2s-odis-two-stage-omni-directional-image
|
2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction
|
2409.09969
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://bitbucket.org/jkdeng/2sudf
|
https://paperswithcode.com/paper/neudf-learning-unsigned-distance-fields-from
|
2S-UDF: A Novel Two-stage UDF Learning Method for Robust Non-watertight Model Reconstruction from Multi-view Images
|
2303.15368
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/fabriziosandri/2ssp
|
https://paperswithcode.com/paper/2ssp-a-two-stage-framework-for-structured
|
2SSP: A Two-Stage Framework for Structured Pruning of LLMs
|
2501.17771
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/pranav-ust/2kenize
|
https://paperswithcode.com/paper/2kenize-tying-subword-sequences-for-chinese
|
2kenize: Tying Subword Sequences for Chinese Script Conversion
|
2005.03375
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/wesleyzhang1991/google_landmark_retrieval_2021_2nd_place_solution
|
https://paperswithcode.com/paper/2nd-place-solution-to-google-landmark-1
|
2nd Place Solution to Google Landmark Retrieval 2021
|
2110.04294
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/xl-h/guie-2nd-place-solution
|
https://paperswithcode.com/paper/runner-up-solution-to-google-universal-image
|
2nd Place Solution to Google Universal Image Embedding
|
2210.08735
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/i4ds/swisstext-2022-swiss-german-shared-task
|
https://paperswithcode.com/paper/2nd-swiss-german-speech-to-standard-german
|
2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022
|
2301.06790
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/michelleblom/stv-rla
|
https://paperswithcode.com/paper/3-seat-risk-limiting-audits-for-single
|
3+ Seat Risk-Limiting Audits for Single Transferable Vote Elections
|
2503.14803
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/Uehwan/3-D-Scene-Graph
|
https://paperswithcode.com/paper/3-d-scene-graph-a-sparse-and-semantic
|
3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents
|
1908.04929
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/mbzamboj/4-d-shadows
|
https://paperswithcode.com/paper/3-d-shadows-of-4-d-algebraic-hypersurfaces-in
|
3-D Shadows of 4-D Algebraic Hypersurfaces in a 4-D Perspective
|
2307.12986
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/hahnec/spiel
|
https://paperswithcode.com/paper/3-dimensional-sonic-phase-invariant-echo
|
3-Dimensional Sonic Phase-invariant Echo Localization
|
2306.08281
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/d-passaro/pyseifert
|
https://paperswithcode.com/paper/3-manifolds-and-voa-characters
|
3-Manifolds and VOA Characters
|
2201.04640
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/baohaoliao/road
|
https://paperswithcode.com/paper/3-in-1-2d-rotary-adaptation-for-efficient
|
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
|
2409.00119
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/siddharth23-8/32-bit-RISC-V-Cpu-Core
|
https://paperswithcode.com/paper/32-bit-risc-v-cpu-core-on-logisim
|
32-Bit RISC-V CPU Core on Logisim
|
2312.01455
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/hal-lucination/segfuse
|
https://paperswithcode.com/paper/360-depth-estimation-in-the-wild-the-depth360
|
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse Network
|
2202.08010
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/zhijieshen-bjtu/mv-dopnet
|
https://paperswithcode.com/paper/360-layout-estimation-via-orthogonal-planes
|
360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-view Geometric Consistency Perception
|
2312.16268
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/matsuren/crownconv360depth
|
https://paperswithcode.com/paper/360-circ-depth-estimation-from-multiple
|
360$^\circ$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron
|
2007.06891
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/LLLQAQFFF/360REA
|
https://paperswithcode.com/paper/360degrea-towards-a-reusable-experience
|
360$^\circ$REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System
|
2404.05569
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/EnriqueSolarte/direct_360_FPE
|
https://paperswithcode.com/paper/360-dfpe-leveraging-monocular-360-layouts-for
|
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation
|
2112.06180
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/ashesh-0/multizoomgaze
|
https://paperswithcode.com/paper/360-degree-gaze-estimation-in-the-wild-using
|
360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales
|
2009.06924
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/shanemankiw/panodiff
|
https://paperswithcode.com/paper/360-degree-panorama-generation-from-few
|
360-Degree Panorama Generation from Few Unregistered NFoV Images
|
2308.14686
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/EnriqueSolarte/360-mlc
|
https://paperswithcode.com/paper/360-mlc-multi-view-layout-consistency-for
|
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning
|
2210.12935
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/metaslam/360fusionnerf
|
https://paperswithcode.com/paper/360fusionnerf-panoramic-neural-radiance
|
360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance
|
2209.14265
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/HuajianUP/360Loc
|
https://paperswithcode.com/paper/360loc-a-dataset-and-benchmark-for
|
360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device Queries
|
2311.17389
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/manojMadarasingha/360norvic
|
https://paperswithcode.com/paper/360norvic-360-degree-video-classification
|
360NorVic: 360-Degree Video Classification from Mobile Encrypted Video Traffic
|
2105.03611
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/littlewhitesea/360pant
|
https://paperswithcode.com/paper/360pant-training-free-text-driven-360-degree
|
360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation
|
2409.08397
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/huajianup/360vot
|
https://paperswithcode.com/paper/360vot-a-new-benchmark-dataset-for
|
360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking
|
2307.14630
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/yuanmingze/360OpticalFlow-TangentImages
|
https://paperswithcode.com/paper/360deg-optical-flow-using-tangent-images
|
360° Optical Flow using Tangent Images
|
2112.14331
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/cdonnay/nesting_oh_wi
|
https://paperswithcode.com/paper/3-1-nesting-rules-in-redistricting
|
3:1 Nesting Rules in Redistricting
|
2308.00605
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/maxylee/3am
|
https://paperswithcode.com/paper/3am-an-ambiguity-aware-multi-modal-machine
|
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset
|
2404.18413
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/naraysa/3c-net
|
https://paperswithcode.com/paper/3c-net-category-count-and-center-loss-for
|
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
|
1908.08216
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/enquanyang2022/3cad
|
https://paperswithcode.com/paper/3cad-a-large-scale-real-world-3c-product
|
3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly
|
2502.05761
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/KumarRobotics/kr_3d_active_ms_slam
|
https://paperswithcode.com/paper/3d-active-metric-semantic-slam
|
3D Active Metric-Semantic SLAM
|
2309.06950
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/cuge1995/Mesh-Attack
|
https://paperswithcode.com/paper/3d-adversarial-attacks-beyond-point-cloud
|
3D Adversarial Attacks Beyond Point Cloud
|
2104.12146
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/Gorilla-Lab-SCUT/AffordanceNet
|
https://paperswithcode.com/paper/3d-affordancenet-a-benchmark-for-visual
|
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
|
2103.16397
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/ofsoundof/3D_Appearance_SR
|
https://paperswithcode.com/paper/190600925
|
3D Appearance Super-Resolution with Deep Learning
|
1906.00925
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/alinafdima/3dseg-mip-depth
|
https://paperswithcode.com/paper/3d-arterial-segmentation-via-single-2d
|
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images
|
2309.08481
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/marcbadger/avian-mesh
|
https://paperswithcode.com/paper/3d-bird-reconstruction-a-dataset-model-and
|
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View
|
2008.06133
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/csyanbin/3d-medical-generative-survey
|
https://paperswithcode.com/paper/3d-brain-and-heart-volume-generative-models-a
|
3D Brain and Heart Volume Generative Models: A Survey
|
2210.05952
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/sustechgameai/text-to-building-in-minecraft
|
https://paperswithcode.com/paper/3d-building-generation-in-minecraft-via-large
|
3D Building Generation in Minecraft via Large Language Models
|
2406.08751
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/opendatalab/mls-brn
|
https://paperswithcode.com/paper/3d-building-reconstruction-from-monocular-1
|
3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions
|
2404.04823
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/SimilarityGuidedSampling/Similarity-Guided-Sampling
|
https://paperswithcode.com/paper/3d-cnns-with-adaptive-temporal-feature
|
3D CNNs with Adaptive Temporal Feature Resolutions
|
2011.08652
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/hwang1996/3D-Cartoon-Face-Generation
|
https://paperswithcode.com/paper/3d-cartoon-face-generation-with-controllable
|
3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image
|
2207.14425
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/caiqi/cascasde-3d
|
https://paperswithcode.com/paper/3d-cascade-rcnn-high-quality-object-detection
|
3D Cascade RCNN: High Quality Object Detection in Point Clouds
|
2211.08248
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/hygenie1228/clothwild_release
|
https://paperswithcode.com/paper/3d-clothed-human-reconstruction-in-the-wild
|
3D Clothed Human Reconstruction in the Wild
|
2207.10053
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/AIGeeksGroup/3DCoCa
|
https://paperswithcode.com/paper/3d-coca-contrastive-learners-are-3d
|
3D CoCa: Contrastive Learners are 3D Captioners
|
2504.09518
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/julien-zheng/CardiacSegmentationPropagation
|
https://paperswithcode.com/paper/3d-consistent-robust-segmentation-of-cardiac
|
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation
|
1804.09400
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/AMReX-Astro/amrex-astro-diag
|
https://paperswithcode.com/paper/3d-convective-urca-process-in-a-simmering
|
3D Convective Urca Process in a Simmering White Dwarf
|
2412.07938
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/convexsplatting/convex-splatting
|
https://paperswithcode.com/paper/3d-convex-splatting-radiance-field-rendering
|
3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes
|
2411.14974
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/hsokooti/RegNet
|
https://paperswithcode.com/paper/3d-convolutional-neural-networks-image
|
3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations
|
1908.10235
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/gyhandy/3d-copy-paste
|
https://paperswithcode.com/paper/3d-copy-paste-physically-plausible-object-1
|
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection
|
2312.05277
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/tbuikr/3D_DenseSeg
|
https://paperswithcode.com/paper/3d-densely-convolutional-networks-for
|
3D Densely Convolutional Networks for Volumetric Segmentation
|
1709.03199
|
caffe2
|
✅ Official
|
📝 In Paper
|
https://github.com/xishufan/crosstooth_cvpr2025
|
https://paperswithcode.com/paper/3d-dental-model-segmentation-with-geometrical
|
3D Dental Model Segmentation with Geometrical Boundary Preserving
|
2503.23702
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/YanjieZe/3D-Diffusion-Policy
|
https://paperswithcode.com/paper/3d-diffusion-policy
|
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
|
2403.03954
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/China-LiuXiaopeng/BraTS-DMFNet
|
https://paperswithcode.com/paper/3d-dilated-multi-fiber-network-for-real-time
|
3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI
|
1904.03355
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/rasd3/3D-Dual-Fusion
|
https://paperswithcode.com/paper/3d-dual-fusion-dual-domain-dual-query-camera-1
|
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection
|
2211.13529
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/3d-flat/3dflat
|
https://paperswithcode.com/paper/3d-flat-feasible-learned-acquisition
|
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI
|
2008.04808
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/liuf1990/3DFC
|
https://paperswithcode.com/paper/3d-face-modeling-from-diverse-raw-scan-data
|
3D Face Modeling From Diverse Raw Scan Data
|
1902.04943
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/liguohao96/wsdf
|
https://paperswithcode.com/paper/3d-face-modeling-via-weakly-supervised
|
3D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Prior
|
2404.16536
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/jagmohaniiit/3dfacemorph
|
https://paperswithcode.com/paper/3d-face-morphing-attacks-generation
|
3D Face Morphing Attacks: Generation, Vulnerability and Detection
|
2201.03454
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/sariyanidi/M3DFB
|
https://paperswithcode.com/paper/3d-face-reconstruction-error-decomposed-a
|
3D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method Evaluation
|
2505.18025
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/haoxin917/3dface
|
https://paperswithcode.com/paper/3d-face-reconstruction-using-a-spectral-based
|
3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder
|
2403.05218
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/simogroup/3dfair
|
https://paperswithcode.com/paper/3d-facial-imperfection-regeneration-deep
|
3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes
|
2303.14381
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/simingyan/maskfeat3d
|
https://paperswithcode.com/paper/3d-feature-prediction-for-masked-autoencoder
|
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
|
2304.06911
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/lasinger/3d-fluid-flow
|
https://paperswithcode.com/paper/3d-fluid-flow-estimation-with-integrated
|
3D Fluid Flow Estimation with Integrated Particle Reconstruction
|
1804.03037
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/zlynpu/3dfmnet
|
https://paperswithcode.com/paper/3d-focusing-and-matching-network-for-multi
|
3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
|
2411.07740
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/alibaba-damo-academy/former3d
|
https://paperswithcode.com/paper/monocular-scene-reconstruction-with-3d-sdf
|
3D Former: Monocular Scene Reconstruction with 3D SDF Transformers
|
2301.13510
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/Sina-Mohammadi/3DFCNwithIOUlossforCropMapping
|
https://paperswithcode.com/paper/3d-fully-convolutional-neural-networks-with
|
3D Fully Convolutional Neural Networks with Intersection Over Union Loss for Crop Mapping from Multi-Temporal Satellite Images
|
2102.07280
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/KU-CVLAB/3DGAN-Inversion
|
https://paperswithcode.com/paper/3d-gan-inversion-with-pose-optimization
|
3D GAN Inversion with Pose Optimization
|
2210.07301
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/poloclub/3D-Gaussian-Splat-Attack
|
https://paperswithcode.com/paper/3d-gaussian-splat-vulnerabilities
|
3D Gaussian Splat Vulnerabilities
|
2506.00280
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/thinkxca/3dgs
|
https://paperswithcode.com/paper/3d-gaussian-splatting-against-moving-objects
|
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene Reconstruction
|
2503.12001
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/graphdeco-inria/gaussian-splatting
|
https://paperswithcode.com/paper/3d-gaussian-splatting-for-real-time-radiance
|
3D Gaussian Splatting for Real-Time Radiance Field Rendering
|
2308.04079
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/zstsandy/awesome-3d-gaussian-splatting-in-robotics
|
https://paperswithcode.com/paper/3d-gaussian-splatting-in-robotics-a-survey
|
3D Gaussian Splatting in Robotics: A Survey
|
2410.12262
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/gapszju/3DGS-DR
|
https://paperswithcode.com/paper/3d-gaussian-splatting-with-deferred
|
3D Gaussian Splatting with Deferred Reflection
|
2404.18454
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/qqqqqqy0227/awesome-3dgs
|
https://paperswithcode.com/paper/3d-gaussian-splatting-survey-technologies
|
3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities
|
2407.17418
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/simofoti/localeigenprojdisentangled
|
https://paperswithcode.com/paper/3d-generative-model-latent-disentanglement
|
3D Generative Model Latent Disentanglement via Local Eigenprojection
|
2302.12798
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/NahyukLEE/pmtr
|
https://paperswithcode.com/paper/3d-geometric-shape-assembly-via-efficient
|
3D Geometric Shape Assembly via Efficient Point Cloud Matching
|
2407.10542
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/AliceOTHMANI/3D-Geometric-Texture-Segmentation
|
https://paperswithcode.com/paper/3d-geometric-salient-patterns-analysis-on-3d
|
3D Geometric salient patterns analysis on 3D meshes
|
1906.07645
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/masabdi/LSPS
|
https://paperswithcode.com/paper/3d-hand-pose-estimation-using-simulation-and
|
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space
|
1807.05380
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/XJTU-Haolin/TT3D
|
https://paperswithcode.com/paper/3d-harmonic-loss-towards-task-consistent-and
|
3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X Orchestration
|
2211.03407
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/prbonn/hapt3d
|
https://paperswithcode.com/paper/3d-hierarchical-panoptic-segmentation-in-real
|
3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors
|
2503.13188
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/threedle/3DHighlighter
|
https://paperswithcode.com/paper/3d-highlighter-localizing-regions-on-3d
|
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions
|
2212.11263
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/lmb-freiburg/rgbd-pose3d
|
https://paperswithcode.com/paper/3d-human-pose-estimation-in-rgbd-images-for
|
3D Human Pose Estimation in RGBD Images for Robotic Task Learning
|
1803.02622
|
tf
|
✅ Official
|
❓ No Mention
|
https://github.com/adjkamel/goa_bat
|
https://paperswithcode.com/paper/3d-human-pose-estimation-via-spatial-graph
|
3D Human Pose Estimation via Spatial Graph Order Attention and Temporal Body Aware Transformer
|
2505.01003
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/anibali/margipose
|
https://paperswithcode.com/paper/3d-human-pose-estimation-with-2d-marginal
|
3D Human Pose Estimation with 2D Marginal Heatmaps
|
1806.01484
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/sungheonpark/3D_HPE_RN
|
https://paperswithcode.com/paper/3d-human-pose-estimation-with-relational
|
3D Human Pose Estimation with Relational Networks
|
1805.08961
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/vegesm/siamese-pose-estimation
|
https://paperswithcode.com/paper/3d-human-pose-estimation-with-siamese
|
3D Human Pose Estimation with Siamese Equivariant Embedding
|
1809.07217
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/osvai/gridconv
|
https://paperswithcode.com/paper/3d-human-pose-lifting-with-grid-convolution
|
3D Human Pose Lifting with Grid Convolution
|
2302.08760
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/baniks/PoseGraphNet
|
https://paperswithcode.com/paper/3d-human-pose-regression-using-graph
|
3D Human Pose Regression using Graph Convolutional Network
|
2105.10379
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/boreshkinai/hybrik-transformer
|
https://paperswithcode.com/paper/hybrik-transformer
|
3D Human Pose and Shape Estimation via HybrIK-Transformer
|
2302.04774
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/zhongcl-thu/3d-implicit-transporter
|
https://paperswithcode.com/paper/3d-implicit-transporter-for-temporally
|
3D Implicit Transporter for Temporally Consistent Keypoint Discovery
|
2309.05098
|
pytorch
|
✅ Official
|
📝 In Paper
|
Subsets and Splits
Unique ArXiv IDs in Train Data
Identifies and retrieves records of papers that appear only once in the dataset, helping to understand unique entries.