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/AVAuco/ddp
|
https://paperswithcode.com/paper/3d-human-pose-estimation-from-depth-maps
|
3D human pose estimation from depth maps using a deep combination of poses
|
1807.05389
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/ctlee/gamer
|
https://paperswithcode.com/paper/3d-mesh-processing-using-gamer-2-to-enable
|
3D mesh processing using GAMer 2 to enable reaction-diffusion simulations in realistic cellular geometries
|
1901.11008
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/nbiclab/cem3dmg
|
https://paperswithcode.com/paper/three-dimensional-microstructural-image
|
3D microstructural generation from 2D images of cement paste using generative adversarial networks
|
2204.01645
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/genentech/voxmol
|
https://paperswithcode.com/paper/3d-molecule-generation-by-denoising-voxel
|
3D molecule generation by denoising voxel grids
|
2306.07473
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/sliljegren/1l-3nerrors
|
https://paperswithcode.com/paper/3d-non-lte-iron-abundances-in-fg-type-dwarfs
|
3D non-LTE iron abundances in FG-type dwarfs
|
2209.13449
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/kshitijkarnawat/structure-from-motion
|
https://paperswithcode.com/paper/3d-reconstruction-using-structure-for-motion
|
3D reconstruction using Structure for Motion
|
2306.06360
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/pbonazzi/graph-scene-transformer
|
https://paperswithcode.com/paper/3d-scene-generation-from-scene-graphs-and
|
3D scene generation from scene graphs and self-attention
|
2404.01887
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/kskim-phd/vmpr-uad
|
https://paperswithcode.com/paper/3d-unsupervised-anomaly-detection-and
|
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography
|
2206.13385
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/gillesferrand/Unity-RayTracing
|
https://paperswithcode.com/paper/3d-visualization-of-astronomy-data-cubes
|
3D visualization of astronomy data cubes using immersive displays
|
1607.08874
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/silence-tang/gaussianactor
|
https://paperswithcode.com/paper/3d-2-actor-learning-pose-conditioned-3d-aware
|
3D$^2$-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling
|
2412.11599
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/hkzhang91/3D-ANAS
|
https://paperswithcode.com/paper/3d-anas-3d-asymmetric-neural-architecture
|
3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification
|
2101.04287
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/ozzyou/3d-avs
|
https://paperswithcode.com/paper/auto-vocabulary-segmentation-for-lidar-points
|
3D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation
|
2406.09126
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/zinsmatt/3D-Aware-Ellipses-for-Visual-Localization
|
https://paperswithcode.com/paper/3d-aware-ellipse-prediction-for-object-based
|
3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation
|
2105.11494
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/sen-mao/3di2i-translation
|
https://paperswithcode.com/paper/3d-aware-multi-class-image-to-image
|
3D-Aware Multi-Class Image-to-Image Translation with NeRFs
|
2303.15012
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/edz-o/3dnbf
|
https://paperswithcode.com/paper/3d-aware-neural-body-fitting-for-occlusion
|
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
|
2308.10123
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/ysymyth/3D-SDN
|
https://paperswithcode.com/paper/3d-aware-scene-manipulation-via-inverse
|
3D-Aware Scene Manipulation via Inverse Graphics
|
1808.09351
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/zhangqianhui/3DSGAN
|
https://paperswithcode.com/paper/3d-aware-semantic-guided-generative-model-for
|
3D-Aware Semantic-Guided Generative Model for Human Synthesis
|
2112.01422
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/sherwinbahmani/3dvideogeneration
|
https://paperswithcode.com/paper/3d-aware-video-generation
|
3D-Aware Video Generation
|
2206.14797
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/kaist-cvml/3d-vlm-gd
|
https://paperswithcode.com/paper/3d-aware-vision-language-models-fine-tuning
|
3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation
|
2506.09883
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/xingruiwang/3d-aware-vqa
|
https://paperswithcode.com/paper/3d-aware-visual-question-answering-about-1
|
3D-Aware Visual Question Answering about Parts, Poses and Occlusions
|
2310.17914
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/kokiaoki/3d_bbs
|
https://paperswithcode.com/paper/3d-bbs-global-localization-for-3d-point-cloud
|
3D-BBS: Global Localization for 3D Point Cloud Scan Matching Using Branch-and-Bound Algorithm
|
2310.10023
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/editeodoro/Bbarolo
|
https://paperswithcode.com/paper/3d-barolo-a-new-3d-algorithm-to-derive
|
3D-Barolo: a new 3D algorithm to derive rotation curves of galaxies
|
1505.07834
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/tiongleslie/3D-C2FT
|
https://paperswithcode.com/paper/3d-c2ft-coarse-to-fine-transformer-for-multi
|
3D-C2FT: Coarse-to-fine Transformer for Multi-view 3D Reconstruction
|
2205.14575
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/dun-research/3D-CSL
|
https://paperswithcode.com/paper/3d-csl-self-supervised-3d-context-similarity
|
3D-CSL: self-supervised 3D context similarity learning for Near-Duplicate Video Retrieval
|
2211.05352
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/umn-zhaolab/3d-carbon
|
https://paperswithcode.com/paper/3d-carbon-an-analytical-carbon-modeling-tool
|
3D-Carbon: An Analytical Carbon Modeling Tool for 3D and 2.5D Integrated Circuits
|
2307.08060
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/qq775193759/3D-CariGAN
|
https://paperswithcode.com/paper/3d-carigan-an-end-to-end-solution-to-3d
|
3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos
|
2003.06841
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/shyamvarahagiri/3d-convsst
|
https://paperswithcode.com/paper/3d-convolution-guided-spectral-spatial
|
3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classification
|
2404.13252
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/f-almeman/3d-ex
|
https://paperswithcode.com/paper/3d-ex-a-unified-dataset-of-definitions-and
|
3D-EX : A Unified Dataset of Definitions and Dictionary Examples
|
2308.03043
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/hidneuron/3d-effivitcaps
|
https://paperswithcode.com/paper/3d-effivitcaps-3d-efficient-vision
|
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation
|
2403.16350
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/rohit7044/3D-GANTex
|
https://paperswithcode.com/paper/3d-gantex-3d-face-reconstruction-with
|
3D-GANTex: 3D Face Reconstruction with StyleGAN3-based Multi-View Images and 3DDFA based Mesh Generation
|
2410.16009
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/sled-group/3D-GRAND
|
https://paperswithcode.com/paper/3d-grand-towards-better-grounding-and-less
|
3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
|
2406.05132
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/qcydm/dids-mfl
|
https://paperswithcode.com/paper/3d-ids-doubly-disentangled-dynamic-intrusion
|
3D-IDS: Doubly Disentangled Dynamic Intrusion Detection
|
2307.11079
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/mosamdabhi/3dlfm
|
https://paperswithcode.com/paper/3d-lfm-lifting-foundation-model
|
3D-LFM: Lifting Foundation Model
|
2312.11894
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/val-iisc/3d-lmnet
|
https://paperswithcode.com/paper/3d-lmnet-latent-embedding-matching-for
|
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image
|
1807.07796
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/YujunHuang063/3D-GP-LMVIC
|
https://paperswithcode.com/paper/3d-gp-lmvic-learning-based-multi-view-image
|
3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors
|
2409.04013
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/abachaa/3d-mir
|
https://paperswithcode.com/paper/3d-mir-a-benchmark-and-empirical-study-on-3d
|
3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology
|
2311.13752
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/Shathe/3D-MiniNet
|
https://paperswithcode.com/paper/3d-mininet-learning-a-2d-representation-from
|
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
|
2002.10893
|
tf
|
✅ Official
|
🐙 On GitHub
|
https://github.com/qizhipei/3d-molt5
|
https://paperswithcode.com/paper/3d-molt5-towards-unified-3d-molecule-text
|
3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
|
2406.05797
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/alexhang212/3d-muppet
|
https://paperswithcode.com/paper/3d-muppet-3d-multi-pigeon-pose-estimation-and
|
3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking
|
2308.15316
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/junshengzhou/3d-oae
|
https://paperswithcode.com/paper/self-supervised-point-cloud-representation
|
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
|
2203.14084
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/ccc870206/3d-pl
|
https://paperswithcode.com/paper/3d-pl-domain-adaptive-depth-estimation-with
|
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
|
2209.09231
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/zouchuhang/3D-PRNN
|
https://paperswithcode.com/paper/3d-prnn-generating-shape-primitives-with
|
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
|
1708.01648
|
torch
|
✅ Official
|
❓ No Mention
|
https://github.com/val-iisc/3d-psrnet
|
https://paperswithcode.com/paper/3d-psrnet-part-segmented-3d-point-cloud
|
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image
|
1810.00461
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/lexieyang/3d-pointzshots
|
https://paperswithcode.com/paper/3d-pointzshots-geometry-aware-3d-point-cloud
|
3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic Gap
|
2504.12442
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/filipemaia/3d_mhz_liquid_sheet
|
https://paperswithcode.com/paper/3d-printed-sheet-jet-for-stable-megahertz
|
3D-Printed Sheet Jet for Stable Megahertz Liquid Sample Delivery at X-ray Free Electron Lasers
|
2306.07626
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/wanggynpuer/3d-rcnet
|
https://paperswithcode.com/paper/3d-rcnet-learning-from-transformer-to-build-a
|
3D-RCNet: Learning from Transformer to Build a 3D Relational ConvNet for Hyperspectral Image Classification
|
2408.13728
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/fomalhautb/3d-retr
|
https://paperswithcode.com/paper/3d-retr-end-to-end-single-and-multi-view-3d
|
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers
|
2110.08861
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/Sekunde/3D-SIS
|
https://paperswithcode.com/paper/3d-sis-3d-semantic-instance-segmentation-of
|
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
|
1812.07003
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/fjhzhixi/3d-sps
|
https://paperswithcode.com/paper/3d-sps-single-stage-3d-visual-grounding-via
|
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection
|
2204.06272
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/sosppxo/3d-stmn
|
https://paperswithcode.com/paper/3d-stmn-dependency-driven-superpoint-text
|
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation
|
2308.16632
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/sh4174/3DStyleGAN
|
https://paperswithcode.com/paper/3d-stylegan-a-style-based-generative
|
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images
|
2107.09700
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/vinairesearch/3d-ucaps
|
https://paperswithcode.com/paper/3d-ucaps-3d-capsules-unet-for-volumetric
|
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
|
2203.08965
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/dunbar12138/pix2pix3d
|
https://paperswithcode.com/paper/3d-aware-conditional-image-synthesis
|
3D-aware Conditional Image Synthesis
|
2302.08509
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/genforce/volumegan
|
https://paperswithcode.com/paper/3d-aware-image-synthesis-via-learning
|
3D-aware Image Synthesis via Learning Structural and Textural Representations
|
2112.10759
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/faridghm/meta-sel
|
https://paperswithcode.com/paper/3d-model-shapenet-core-classification-using
|
3D-model ShapeNet Core Classification using Meta-Semantic Learning
|
2205.15869
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/liuzhengzhe/3D-to-2D-Distillation-for-Indoor-Scene-Parsing
|
https://paperswithcode.com/paper/3d-to-2d-distillation-for-indoor-scene
|
3D-to-2D Distillation for Indoor Scene Parsing
|
2104.02243
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/taewoonglee17/twoviewsdsareg
|
https://paperswithcode.com/paper/3d-2d-registration-of-angiograms-using
|
3D/2D Registration of Angiograms using Silhouette-based Differentiable Rendering
|
2501.14918
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/sohomd/3D2M-Dataset
|
https://paperswithcode.com/paper/3d2m-dataset-a-3-dimension-diverse-mesh
|
3D2M Dataset: A 3-Dimension diverse Mesh Dataset
|
2410.07415
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/ethz-asl/3d3l
|
https://paperswithcode.com/paper/3d3l-deep-learned-3d-keypoint-detection-and
|
3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs
|
2103.13808
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/fatPeter/ThreeDAC
|
https://paperswithcode.com/paper/3dac-learning-attribute-compression-for-point
|
3DAC: Learning Attribute Compression for Point Clouds
|
2203.09931
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/hcplab-sysu/3daffordsplat
|
https://paperswithcode.com/paper/3daffordsplat-efficient-affordance-reasoning
|
3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians
|
2504.11218
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/fcongrui/3dattgan
|
https://paperswithcode.com/paper/3dattgan-a-3d-attention-based-generative
|
3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-Resolution
|
2407.16965
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/3db/3db
|
https://paperswithcode.com/paper/3db-a-framework-for-debugging-computer-vision
|
3DB: A Framework for Debugging Computer Vision Models
|
2106.03805
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/Inshsang/3DBench
|
https://paperswithcode.com/paper/3dbench-a-scalable-3d-benchmark-and
|
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset
|
2404.14678
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/cattalyya/3dcompat-challenge
|
https://paperswithcode.com/paper/3dcompat-an-improved-large-scale-3d-vision
|
3DCoMPaT$^{++}$: An improved Large-scale 3D Vision Dataset for Compositional Recognition
|
2310.18511
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/3dcompat200/3dcompat200
|
https://paperswithcode.com/paper/3dcompat200-language-grounded-compositional
|
3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes
|
2501.06785
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/UARK-AICV/3DConvCaps
|
https://paperswithcode.com/paper/3dconvcaps-3dunet-with-convolutional-capsule
|
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation
|
2205.09299
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/Kayaba-Akihiko/3DDX
|
https://paperswithcode.com/paper/3ddx-bone-surface-reconstruction-from-a
|
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation
|
2409.16702
|
pytorch
|
✅ Official
|
❓ No Mention
|
https://github.com/junshutang/3DFaceShop
|
https://paperswithcode.com/paper/explicitly-controllable-3d-aware-portrait
|
3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation
|
2209.05434
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/yewzijian/3DFeatNet
|
https://paperswithcode.com/paper/3dfeat-net-weakly-supervised-local-3d
|
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
|
1807.09413
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/hoyyyaard/3dflowaction
|
https://paperswithcode.com/paper/3dflowaction-learning-cross-embodiment
|
3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model
|
2506.06199
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/ryan-prime/3dg-stfm
|
https://paperswithcode.com/paper/3dg-stfm-3d-geometric-guided-student-teacher
|
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching
|
2207.02375
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/zyj-2000/3dgcqa
|
https://paperswithcode.com/paper/3dgcqa-a-quality-assessment-database-for-3d
|
3DGCQA: A Quality Assessment Database for 3D AI-Generated Contents
|
2409.07236
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/zixunh/3DGEER
|
https://paperswithcode.com/paper/3dgeer-exact-and-efficient-volumetric
|
3DGEER: Exact and Efficient Volumetric Rendering with 3D Gaussians
|
2505.24053
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/windrise/3dgr-car
|
https://paperswithcode.com/paper/3dgr-car-coronary-artery-reconstruction-from
|
3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation
|
2410.00404
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/yangcaoai/3dgs-det
|
https://paperswithcode.com/paper/3dgs-det-empower-3d-gaussian-splatting-with
|
3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object Detection
|
2410.01647
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/lukashoel/3dgs-lm
|
https://paperswithcode.com/paper/3dgs-lm-faster-gaussian-splatting
|
3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt
|
2409.12892
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/lewis-stuart-11/3dgs-to-pc
|
https://paperswithcode.com/paper/3dgs-to-pc-convert-a-3d-gaussian-splatting
|
3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh
|
2501.07478
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/SJoJoK/3DGStream
|
https://paperswithcode.com/paper/3dgstream-on-the-fly-training-of-3d-gaussians
|
3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos
|
2403.01444
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/nv-tlabs/3dgrut
|
https://paperswithcode.com/paper/3dgut-enabling-distorted-cameras-and
|
3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting
|
2412.12507
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/cognitiveaisystems/3dgraphllm
|
https://paperswithcode.com/paper/3dgraphllm-combining-semantic-graphs-and
|
3DGraphLLM: Combining Semantic Graphs and Large Language Models for 3D Scene Understanding
|
2412.18450
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/myavartanoo/3DIAS_PyTorch
|
https://paperswithcode.com/paper/3dias-3d-shape-reconstruction-with-implicit
|
3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces
|
2108.08653
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/1zb/3DILG
|
https://paperswithcode.com/paper/3dilg-irregular-latent-grids-for-3d
|
3DILG: Irregular Latent Grids for 3D Generative Modeling
|
2205.13914
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/cdqu/3DIOC-Direct-data-driven-inverse-optimal-control
|
https://paperswithcode.com/paper/3dioc-direct-data-driven-inverse-optimal
|
3DIOC: Direct Data-Driven Inverse Optimal Control for LTI Systems
|
2409.10884
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/sitzikbs/3dincaction
|
https://paperswithcode.com/paper/3dinaction-understanding-human-actions-in-3d
|
3DInAction: Understanding Human Actions in 3D Point Clouds
|
2303.06346
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/qiqi-dai/3dinvnet
|
https://paperswithcode.com/paper/3dinvnet-a-deep-learning-based-3d-ground
|
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data Inversion
|
2305.05425
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/Rennes-LiDAR-Platform/lidar_platform
|
https://paperswithcode.com/paper/3dmasc-accessible-explainable-3d-point-clouds
|
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data
|
2401.09481
|
none
|
✅ Official
|
❓ No Mention
|
https://github.com/staymylove/3DMIT
|
https://paperswithcode.com/paper/3dmit-3d-multi-modal-instruction-tuning-for
|
3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding
|
2401.03201
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/dsx0511/3dmotformer
|
https://paperswithcode.com/paper/3dmotformer-graph-transformer-for-online-3d
|
3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking
|
2308.06635
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/tsingyuanchou/3dmambaipf
|
https://paperswithcode.com/paper/3dmambaipf-a-state-space-model-for-iterative
|
3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering
|
2404.05522
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/andyzeng/3dmatch-toolbox
|
https://paperswithcode.com/paper/3dmatch-learning-local-geometric-descriptors
|
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
|
1603.08182
|
none
|
✅ Official
|
🐙 On GitHub
|
https://github.com/hxyfighter/3dmolformer
|
https://paperswithcode.com/paper/3dmolformer-a-dual-channel-framework-for
|
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
|
2502.05107
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/laughtervv/3DN
|
https://paperswithcode.com/paper/3dn-3d-deformation-network
|
3DN: 3D Deformation Network
|
1903.03322
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/antoalli/3d_os
|
https://paperswithcode.com/paper/towards-open-set-3d-learning-a-benchmark-on
|
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds
|
2207.11554
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/probcomp/threedp3
|
https://paperswithcode.com/paper/3dp3-3d-scene-perception-via-probabilistic
|
3DP3: 3D Scene Perception via Probabilistic Programming
|
2111.00312
|
none
|
✅ Official
|
📝 In Paper
|
https://github.com/oneThousand1000/3DPortraitGAN
|
https://paperswithcode.com/paper/learning-full-head-3d-gans-from-a-single-view
|
3DPortraitGAN: Learning One-Quarter Headshot 3D GANs from a Single-View Portrait Dataset with Diverse Body Poses
|
2307.14770
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
https://github.com/lcmd-epfl/equireact
|
https://paperswithcode.com/paper/equireact-an-equivariant-neural-network-for
|
3DReact: Geometric deep learning for chemical reactions
|
2312.08307
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/3DVisionISR/3DRegNet
|
https://paperswithcode.com/paper/3dregnet-a-deep-neural-network-for-3d-point
|
3DRegNet: A Deep Neural Network for 3D Point Registration
|
1904.01701
|
tf
|
✅ Official
|
📝 In Paper
|
https://github.com/med-air/3dsam-adapter
|
https://paperswithcode.com/paper/3dsam-adapter-holistic-adaptation-of-sam-from
|
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
|
2306.13465
|
pytorch
|
✅ Official
|
📝 In Paper
|
https://github.com/ethz-asl/3dsnet
|
https://paperswithcode.com/paper/3dsnet-unsupervised-shape-to-shape-3d-style
|
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer
|
2011.13388
|
pytorch
|
✅ Official
|
🐙 On GitHub
|
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.