{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/3d-reconstruction/papers/18","list_of":"/task/3d-reconstruction","task":"3D Reconstruction","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":18,"pages_in_order":24,"rows_per_page":100,"rows":[1701,1800],"of":2326,"counts":{"archive_papers_tagged":2326,"with_a_code_link":793,"where_syntology_ran_a_sample":216,"not_listed_spam_title":0,"listed":2326,"listed_where_code_ran":216,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":185,"every_run_a_failure_of_syntologys_instrument":31,"listed_with_a_run_with_no_instrument_failure":185,"listed_every_run_a_failure_of_syntologys_instrument":31,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/3d-reconstruction","prev":"/task/3d-reconstruction/papers/17","next":"/task/3d-reconstruction/papers/19","papers":[{"url":"/paper/snes-learning-probably-symmetric-neural","slug":"snes-learning-probably-symmetric-neural","title":"SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data","date":"2022-06-13","arxiv_id":"2206.06340","repositories_listed":0,"syntology":{"n":12,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":10,"n_pointer_only":0,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/snes-learning-probably-symmetric-neural#ran","syntology_url":"https://syntology.ai/paper/2206.06340","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2206.06340"}},"official":null}},{"url":null,"slug":"optical-diffraction-tomography-based-on-3d","title":"Optical Diffraction Tomography based on 3D Physics-Inspired Neural Network (PINN)","date":"2022-06-10","arxiv_id":"2206.05236","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatial-acoustic-projection-for-3d-imaging","title":"Spatial Acoustic Projection for 3D Imaging Sonar Reconstruction","date":"2022-06-06","arxiv_id":"2206.02840","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-for-detection-of-3d-features","title":"Machine Learning for Detection of 3D Features using sparse X-ray data","date":"2022-06-02","arxiv_id":"2206.02564","repositories_listed":0,"syntology":null},{"url":null,"slug":"2d-amodal-instance-segmentation-guided-by-3d","title":"2D Amodal Instance Segmentation Guided by 3D Shape Prior","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cd-2-fine-grained-3d-mesh-reconstruction-with","title":"CD$^2$: Fine-grained 3D Mesh Reconstruction With Twice Chamfer Distance","date":"2022-06-01","arxiv_id":"2206.00447","repositories_listed":0,"syntology":null},{"url":null,"slug":"novel-light-field-imaging-device-with","title":"Novel Light Field Imaging Device with Enhanced Light Collection for Cold Atom Clouds","date":"2022-05-23","arxiv_id":"2205.11480","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-depth-completion-a-survey","title":"Deep Depth Completion from Extremely Sparse Data: A Survey","date":"2022-05-11","arxiv_id":"2205.05335","repositories_listed":0,"syntology":null},{"url":"/paper/single-view-3d-body-and-cloth-reconstruction","slug":"single-view-3d-body-and-cloth-reconstruction","title":"Single-view 3D Body and Cloth Reconstruction under Complex Poses","date":"2022-05-09","arxiv_id":"2205.04087","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-review-on-viewpoints-and-path-planning-for","title":"A Review on Viewpoints and Path-planning for UAV-based 3D Reconstruction","date":"2022-05-07","arxiv_id":"2205.03716","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-view-point-cloud-registration-based-on","title":"Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism","date":"2022-05-06","arxiv_id":"2205.02996","repositories_listed":0,"syntology":null},{"url":null,"slug":"tomosar-alista-efficient-tomosar-imaging-via","title":"TomoSAR-ALISTA: Efficient TomoSAR Imaging via Deep Unfolded Network","date":"2022-05-05","arxiv_id":"2205.02445","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-view-geometry-correspondences","title":"Multi-view Geometry: Correspondences Refinement Based on Algebraic Properties","date":"2022-05-03","arxiv_id":"2205.01634","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-3d-fingerprint-reconstruction-and","title":"Monocular 3D Fingerprint Reconstruction and Unwarping","date":"2022-05-02","arxiv_id":"2205.00967","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-galactic-3d-large-scale-dust-distribution","title":"The Galactic 3D large-scale dust distribution via Gaussian process regression on spherical coordinates","date":"2022-04-25","arxiv_id":"2204.11715","repositories_listed":0,"syntology":null},{"url":null,"slug":"smartportraits-depth-powered-handheld","title":"SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis","date":"2022-04-21","arxiv_id":"2204.10211","repositories_listed":0,"syntology":null},{"url":null,"slug":"photorealistic-monocular-3d-reconstruction-of","title":"Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing","date":"2022-04-19","arxiv_id":"2204.08906","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-non-rigid-structure-from-motion-a","title":"Deep Non-rigid Structure-from-Motion: A Sequence-to-Sequence Translation Perspective","date":"2022-04-10","arxiv_id":"2204.04730","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-spherical-epipolar","title":"Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction","date":"2022-04-08","arxiv_id":"2204.04141","repositories_listed":0,"syntology":null},{"url":null,"slug":"gravitationally-lensed-black-hole-emission","title":"Gravitationally Lensed Black Hole Emission Tomography","date":"2022-04-07","arxiv_id":"2204.03715","repositories_listed":0,"syntology":null},{"url":null,"slug":"pre-train-self-train-distill-a-simple-recipe","title":"Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction","date":"2022-04-07","arxiv_id":"2204.03642","repositories_listed":0,"syntology":null},{"url":null,"slug":"auv-net-learning-aligned-uv-maps-for-texture","title":"AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis","date":"2022-04-06","arxiv_id":"2204.03105","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-temporal-learning-approach-to-inpainting","title":"A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its effect on Image Correspondence","date":"2022-03-31","arxiv_id":"2203.17013","repositories_listed":0,"syntology":null},{"url":null,"slug":"hdsdf-hybrid-directional-and-signed-distance","title":"FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions","date":"2022-03-30","arxiv_id":"2203.16284","repositories_listed":0,"syntology":null},{"url":null,"slug":"pop-out-motion-3d-aware-image-deformation-via","title":"Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian","date":"2022-03-29","arxiv_id":"2203.15235","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-learning-neural-representations-from","title":"Towards Learning Neural Representations from Shadows","date":"2022-03-29","arxiv_id":"2203.15946","repositories_listed":0,"syntology":null},{"url":"/paper/raytran-3d-pose-estimation-and-shape","slug":"raytran-3d-pose-estimation-and-shape","title":"RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers","date":"2022-03-24","arxiv_id":"2203.13296","repositories_listed":0,"syntology":{"n":5,"n_ran":4,"n_constructed":4,"n_ran_checked":4,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"4 ran (of which 4 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; every one of the 4 samples that ran constructed an object rather than computing a result","sample_list":"/paper/raytran-3d-pose-estimation-and-shape#ran","syntology_url":"https://syntology.ai/paper/2203.13296","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.13296"}},"official":null}},{"url":null,"slug":"a-real-world-dataset-for-multi-view-3d","title":"A Real World Dataset for Multi-view 3D Reconstruction","date":"2022-03-22","arxiv_id":"2203.11397","repositories_listed":0,"syntology":null},{"url":null,"slug":"dift-differentiable-differential-feature","title":"DiFT: Differentiable Differential Feature Transform for Multi-View Stereo","date":"2022-03-16","arxiv_id":"2203.08435","repositories_listed":0,"syntology":null},{"url":null,"slug":"vpfusion-joint-3d-volume-and-pixel-aligned","title":"VPFusion: Joint 3D Volume and Pixel-Aligned Feature Fusion for Single and Multi-view 3D Reconstruction","date":"2022-03-14","arxiv_id":"2203.07553","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-3d-bio-printable-patches-using","title":"Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers","date":"2022-03-08","arxiv_id":"2203.03814","repositories_listed":0,"syntology":null},{"url":null,"slug":"addressing-the-shape-radiance-ambiguity-in","title":"Addressing the Shape-Radiance Ambiguity in View-Dependent Radiance Fields","date":"2022-03-03","arxiv_id":"2203.01553","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-object-reconstruction-and-6d-pose","title":"3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects","date":"2022-03-02","arxiv_id":"2203.01051","repositories_listed":0,"syntology":null},{"url":null,"slug":"h4d-human-4d-modeling-by-learning-neural","title":"H4D: Human 4D Modeling by Learning Neural Compositional Representation","date":"2022-03-02","arxiv_id":"2203.01247","repositories_listed":0,"syntology":null},{"url":null,"slug":"onix-an-x-ray-deep-learning-tool-for-3d","title":"ONIX: an X-ray deep-learning tool for 3D reconstructions from sparse views","date":"2022-03-01","arxiv_id":"2203.00682","repositories_listed":0,"syntology":null},{"url":null,"slug":"erf-explicit-radiance-field-reconstruction","title":"ERF: Explicit Radiance Field Reconstruction From Scratch","date":"2022-02-28","arxiv_id":"2203.00051","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-3d-semantic-reconstruction-for","title":"Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function","date":"2022-02-28","arxiv_id":"2202.13855","repositories_listed":0,"syntology":null},{"url":null,"slug":"relmobnet-a-robust-two-stage-end-to-end","title":"RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training","date":"2022-02-25","arxiv_id":"2202.12838","repositories_listed":0,"syntology":null},{"url":null,"slug":"n-qgn-navigation-map-from-a-monocular-camera","title":"N-QGN: Navigation Map from a Monocular Camera using Quadtree Generating Networks","date":"2022-02-24","arxiv_id":"2202.11982","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-monocular-depth-estimation-and-uncertainty","title":"On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression","date":"2022-02-24","arxiv_id":"2202.12369","repositories_listed":0,"syntology":null},{"url":null,"slug":"miti-slam-benchmark-for-laparoscopic-surgery","title":"MITI: SLAM Benchmark for Laparoscopic Surgery","date":"2022-02-23","arxiv_id":"2202.11496","repositories_listed":0,"syntology":null},{"url":null,"slug":"viking-vision-based-kilometer-scale","title":"ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints","date":"2022-02-23","arxiv_id":"2202.11271","repositories_listed":0,"syntology":null},{"url":null,"slug":"neuvv-neural-volumetric-videos-with-immersive","title":"NeuVV: Neural Volumetric Videos with Immersive Rendering and Editing","date":"2022-02-12","arxiv_id":"2202.06088","repositories_listed":0,"syntology":null},{"url":"/paper/danish-airs-and-grounds-a-dataset-for-aerial","slug":"danish-airs-and-grounds-a-dataset-for-aerial","title":"Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization","date":"2022-02-03","arxiv_id":"2202.01821","repositories_listed":0,"syntology":null},{"url":null,"slug":"light-field-rectification-based-on-relative","title":"Light field Rectification based on relative pose estimation","date":"2022-01-29","arxiv_id":"2201.12533","repositories_listed":0,"syntology":null},{"url":null,"slug":"cyber-mobility-mirror-for-enabling","title":"Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform","date":"2022-01-24","arxiv_id":"2201.09463","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-view-cone-beam-ct-reconstruction-using","title":"Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data","date":"2022-01-23","arxiv_id":"2201.09318","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-severely-deformed-mesh","title":"Unsupervised Severely Deformed Mesh Reconstruction (DMR) from a Single-View Image","date":"2022-01-23","arxiv_id":"2201.09373","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-view-monocular-depth-and-uncertainty","title":"Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments","date":"2022-01-21","arxiv_id":"2201.08633","repositories_listed":0,"syntology":null},{"url":null,"slug":"blind-face-restoration-via-integrating-face","title":"Blind Face Restoration via Integrating Face Shape and Generative Priors","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-face-recognition-with-self","title":"Enhancing Face Recognition With Self-Supervised 3D Reconstruction","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"keytr-keypoint-transporter-for-3d","title":"KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-3d-topological-connectivity-for-ghost","title":"Using 3D Topological Connectivity for Ghost Particle Reduction in Flow Reconstruction","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-3d-reconstruction-of-lod2-and-lod1","title":"Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands","date":"2021-12-30","arxiv_id":"2201.01191","repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-and-object-geo-localization-a","title":"Visual and Object Geo-localization: A Comprehensive Survey","date":"2021-12-30","arxiv_id":"2112.15202","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-perception-for-dexterous","title":"Multimodal perception for dexterous manipulation","date":"2021-12-28","arxiv_id":"2112.14298","repositories_listed":0,"syntology":null},{"url":"/paper/multi-initialization-optimization-network-for","slug":"multi-initialization-optimization-network-for","title":"Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation","date":"2021-12-24","arxiv_id":"2112.12917","repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-adaptive-dual-mixup-for-few-shot-single","title":"Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction","date":"2021-12-23","arxiv_id":"2112.12484","repositories_listed":0,"syntology":null},{"url":null,"slug":"mocanet-motion-retargeting-in-the-wild-via","title":"MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks","date":"2021-12-19","arxiv_id":"2112.10082","repositories_listed":0,"syntology":null},{"url":null,"slug":"mvlayoutnet-3d-layout-reconstruction-with","title":"MVLayoutNet:3D layout reconstruction with multi-view panoramas","date":"2021-12-12","arxiv_id":"2112.06133","repositories_listed":0,"syntology":null},{"url":null,"slug":"perf-performant-explicit-radiance-fields","title":"PERF: Performant, Explicit Radiance Fields","date":"2021-12-10","arxiv_id":"2112.05598","repositories_listed":0,"syntology":null},{"url":null,"slug":"representing-3d-shapes-with-probabilistic","title":"Representing 3D Shapes with Probabilistic Directed Distance Fields","date":"2021-12-10","arxiv_id":"2112.05300","repositories_listed":0,"syntology":null},{"url":null,"slug":"roominoes-generating-novel-3d-floor-plans","title":"Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms","date":"2021-12-10","arxiv_id":"2112.05644","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-depth-completion-with-semantic-mesh","title":"Sparse Depth Completion with Semantic Mesh Deformation Optimization","date":"2021-12-10","arxiv_id":"2112.05498","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-s-behind-the-couch-directed-ray-distance","title":"What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction","date":"2021-12-08","arxiv_id":"2112.04481","repositories_listed":0,"syntology":null},{"url":null,"slug":"input-level-inductive-biases-for-3d","title":"Input-level Inductive Biases for 3D Reconstruction","date":"2021-12-06","arxiv_id":"2112.03243","repositories_listed":0,"syntology":null},{"url":null,"slug":"total-scale-face-to-body-detail","title":"Geometry-aware Two-scale PIFu Representation for Human Reconstruction","date":"2021-12-03","arxiv_id":"2112.02082","repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-keypoints-via-multiview-supervision","title":"Dense Keypoints via Multiview Supervision","date":"2021-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"remips-physically-consistent-3d","title":"REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision","date":"2021-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"esl-event-based-structured-light","title":"ESL: Event-based Structured Light","date":"2021-11-30","arxiv_id":"2111.15510","repositories_listed":0,"syntology":null},{"url":null,"slug":"latenthuman-shape-and-pose-disentangled","title":"LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies","date":"2021-11-30","arxiv_id":"2111.15113","repositories_listed":0,"syntology":null},{"url":"/paper/ib-mvs-an-iterative-algorithm-for-deep-multi","slug":"ib-mvs-an-iterative-algorithm-for-deep-multi","title":"IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions","date":"2021-11-29","arxiv_id":"2111.14420","repositories_listed":0,"syntology":null},{"url":null,"slug":"urban-radiance-fields","title":"Urban Radiance Fields","date":"2021-11-29","arxiv_id":"2111.14643","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-fields-as-learnable-kernels-for-3d","title":"Neural Fields as Learnable Kernels for 3D Reconstruction","date":"2021-11-26","arxiv_id":"2111.13674","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-road-planar-parallax-estimation","title":"Monocular Road Planar Parallax Estimation","date":"2021-11-22","arxiv_id":"2111.11089","repositories_listed":0,"syntology":null},{"url":null,"slug":"colde-a-depth-estimation-framework-for","title":"ColDE: A Depth Estimation Framework for Colonoscopy Reconstruction","date":"2021-11-19","arxiv_id":"2111.10371","repositories_listed":0,"syntology":null},{"url":null,"slug":"nenet-monocular-depth-estimation-via-neural","title":"Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One","date":"2021-11-16","arxiv_id":"2111.08313","repositories_listed":0,"syntology":null},{"url":null,"slug":"pipeline-for-3d-reconstruction-of-the-human","title":"Pipeline for 3D reconstruction of the human body from AR/VR headset mounted egocentric cameras","date":"2021-11-09","arxiv_id":"2111.05409","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-panoptic-3d-parsing-for-single-image","title":"Towards Panoptic 3D Parsing for Single Image in the Wild","date":"2021-11-04","arxiv_id":"2111.03039","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-3d-reconstruction-of-interacting","title":"Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements","date":"2021-11-01","arxiv_id":"2111.00763","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparative-study-of-coarse-to-dense-3d","title":"A Comparative Study of Coarse to Dense 3D Indoor Scene Registration Algorithms","date":"2021-10-28","arxiv_id":"2110.15179","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-multi-view-registration-of-point-sets","title":"Robust Multi-view Registration of Point Sets with Laplacian Mixture Model","date":"2021-10-26","arxiv_id":"2110.13744","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-fidelity-3d-reconstructions-with-limited","title":"High Fidelity 3D Reconstructions with Limited Physical Views","date":"2021-10-22","arxiv_id":"2110.11599","repositories_listed":0,"syntology":null},{"url":null,"slug":"style-agnostic-3d-reconstruction-via","title":"Style Agnostic 3D Reconstruction via Adversarial Style Transfer","date":"2021-10-20","arxiv_id":"2110.10784","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-reconstruction-of-curvilinear-structures","title":"3D Reconstruction of Curvilinear Structures with Stereo Matching DeepConvolutional Neural Networks","date":"2021-10-14","arxiv_id":"2110.07766","repositories_listed":0,"syntology":null},{"url":null,"slug":"hyperspectral-3d-mapping-of-underwater","title":"Hyperspectral 3D Mapping of Underwater Environments","date":"2021-10-13","arxiv_id":"2110.06571","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-3d-shape-bias-towards-robust","title":"Exploiting 3D Shape Bias towards Robust Vision","date":"2021-10-12","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-radiance-fields-approach-to-deep-multi","title":"Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo","date":"2021-10-11","arxiv_id":"2110.05594","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-annotation-of-visual-deep-neural","title":"Automatic annotation of visual deep neural networks","date":"2021-10-08","arxiv_id":"2110.03851","repositories_listed":0,"syntology":null},{"url":null,"slug":"topologically-consistent-multi-view-face-1","title":"Topologically Consistent Multi-View Face Inference Using Volumetric Sampling","date":"2021-10-06","arxiv_id":"2110.02948","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-mov-audio-visual-lstm-autoencoder-for-3d","title":"3D-MOV: Audio-Visual LSTM Autoencoder for 3D Reconstruction of Multiple Objects from Video","date":"2021-10-05","arxiv_id":"2110.02404","repositories_listed":0,"syntology":null},{"url":null,"slug":"echo-reconstruction-audio-augmented-3d-scene","title":"Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction","date":"2021-10-05","arxiv_id":"2110.02405","repositories_listed":0,"syntology":null},{"url":null,"slug":"geon3d-exploiting-3d-shape-bias-towards","title":"Geon3D: Exploiting 3D Shape Bias towards Building Robust Machine Vision","date":"2021-09-29","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"identity-expression-ambiguity-in-3d-morphable","title":"Identity-Expression Ambiguity in 3D Morphable Face Models","date":"2021-09-29","arxiv_id":"2109.14203","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-domain-feature-adaptation-for","title":"Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation","date":"2021-09-24","arxiv_id":"2109.11798","repositories_listed":0,"syntology":null},{"url":null,"slug":"learnable-triangulation-for-deep-learning","title":"Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images","date":"2021-09-24","arxiv_id":"2109.11844","repositories_listed":0,"syntology":null},{"url":null,"slug":"survey-on-semantic-stereo-matching-semantic","title":"Survey on Semantic Stereo Matching / Semantic Depth Estimation","date":"2021-09-21","arxiv_id":"2109.10123","repositories_listed":0,"syntology":null},{"url":null,"slug":"freestylegan-free-view-editable-portrait","title":"FreeStyleGAN: Free-view Editable Portrait Rendering with the Camera Manifold","date":"2021-09-20","arxiv_id":"2109.09378","repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-dense-keypointsusing","title":"Semi-supervised Dense Keypoints Using Unlabeled Multiview Images","date":"2021-09-20","arxiv_id":"2109.09299","repositories_listed":0,"syntology":null},{"url":null,"slug":"deeppoint-a-deep-learning-model-for-3d","title":"DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar","date":"2021-09-19","arxiv_id":"2109.09188","repositories_listed":0,"syntology":null}],"record_sha256":"312b51b334d798f5202a6ca791967c6674a0a7d603c68511a4150ab82e9a381b","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}