{"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/novel-view-synthesis/papers/12","list_of":"/task/novel-view-synthesis","task":"Novel View Synthesis","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":12,"pages_in_order":15,"rows_per_page":100,"rows":[1101,1200],"of":1441,"counts":{"archive_papers_tagged":1441,"with_a_code_link":579,"where_syntology_ran_a_sample":250,"not_listed_spam_title":0,"listed":1441,"listed_where_code_ran":250,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":222,"every_run_a_failure_of_syntologys_instrument":28,"listed_with_a_run_with_no_instrument_failure":222,"listed_every_run_a_failure_of_syntologys_instrument":28,"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/novel-view-synthesis","prev":"/task/novel-view-synthesis/papers/11","next":"/task/novel-view-synthesis/papers/13","papers":[{"url":null,"slug":"diffusion-priors-for-dynamic-view-synthesis","title":"Diffusion Priors for Dynamic View Synthesis from Monocular Videos","date":"2024-01-10","arxiv_id":"2401.05583","repositories_listed":0,"syntology":null},{"url":null,"slug":"rustnerf-robust-neural-radiance-field-with","title":"RustNeRF: Robust Neural Radiance Field with Low-Quality Images","date":"2024-01-06","arxiv_id":"2401.03257","repositories_listed":0,"syntology":null},{"url":null,"slug":"batch-normalization-alleviates-the-spectral","title":"Batch Normalization Alleviates the Spectral Bias in Coordinate Networks","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"core-mpi-consistency-object-removal-with","title":"CORE-MPI: Consistency Object Removal with Embedding MultiPlane Image","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deblurring-3d-gaussian-splatting","title":"Deblurring 3D Gaussian Splatting","date":"2024-01-01","arxiv_id":"2401.00834","repositories_listed":0,"syntology":null},{"url":"/paper/differentiable-neural-surface-refinement-for","slug":"differentiable-neural-surface-refinement-for","title":"Differentiable Neural Surface Refinement for Modeling Transparent Objects","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gd-2-nerf-generative-detail-compensation-via","title":"GD^2-NeRF: Generative Detail Compensation via GAN and Diffusion for One-shot Generalizable Neural Radiance Fields","date":"2024-01-01","arxiv_id":"2401.00616","repositories_listed":0,"syntology":null},{"url":null,"slug":"ges-generalized-exponential-splatting-for-1","title":"GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-level-neural-scene-graphs-for-dynamic","title":"Multi-Level Neural Scene Graphs for Dynamic Urban Environments","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"spad-spatially-aware-multi-view-diffusers","title":"SPAD: Spatially Aware Multi-View Diffusers","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"splatam-splat-track-map-3d-gaussians-for-1","title":"SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unifying-correspondence-pose-and-nerf-for-1","title":"Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fmpi-fast-novel-view-synthesis-in-the-wild","title":"fMPI: Fast Novel View Synthesis in the Wild with Layered Scene Representations","date":"2023-12-26","arxiv_id":"2312.16109","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-view-ct-reconstruction-with-3d","title":"3DGR-CT: Sparse-View CT Reconstruction with a 3D Gaussian Representation","date":"2023-12-25","arxiv_id":"2312.15676","repositories_listed":0,"syntology":null},{"url":null,"slug":"deformable-3d-gaussian-splatting-for","title":"Deformable 3D Gaussian Splatting for Animatable Human Avatars","date":"2023-12-22","arxiv_id":"2312.15059","repositories_listed":0,"syntology":null},{"url":null,"slug":"dyblurf-dynamic-deblurring-neural-radiance","title":"DyBluRF: Dynamic Deblurring Neural Radiance Fields for Blurry Monocular Video","date":"2023-12-21","arxiv_id":"2312.13528","repositories_listed":0,"syntology":null},{"url":null,"slug":"nelf-pro-neural-light-field-probes","title":"NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis","date":"2023-12-20","arxiv_id":"2312.13328","repositories_listed":0,"syntology":null},{"url":null,"slug":"nerf-vo-real-time-sparse-visual-odometry-with","title":"NeRF-VO: Real-Time Sparse Visual Odometry with Neural Radiance Fields","date":"2023-12-20","arxiv_id":"2312.13471","repositories_listed":0,"syntology":null},{"url":null,"slug":"radar-fields-an-extension-of-radiance-fields","title":"Radar Fields: An Extension of Radiance Fields to SAR","date":"2023-12-20","arxiv_id":"2312.12961","repositories_listed":0,"syntology":null},{"url":null,"slug":"swags-sampling-windows-adaptively-for-dynamic","title":"SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting","date":"2023-12-20","arxiv_id":"2312.13308","repositories_listed":0,"syntology":null},{"url":null,"slug":"mixrt-mixed-neural-representations-for-real","title":"MixRT: Mixed Neural Representations For Real-Time NeRF Rendering","date":"2023-12-19","arxiv_id":"2312.11841","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaufre-gaussian-deformation-fields-for-real","title":"GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis","date":"2023-12-18","arxiv_id":"2312.11458","repositories_listed":0,"syntology":null},{"url":null,"slug":"t-code-simple-temporal-latent-code-for","title":"T-Code: Simple Temporal Latent Code for Efficient Dynamic View Synthesis","date":"2023-12-18","arxiv_id":"2312.11015","repositories_listed":0,"syntology":null},{"url":null,"slug":"pnerfloc-visual-localization-with-point-based","title":"PNeRFLoc: Visual Localization with Point-based Neural Radiance Fields","date":"2023-12-17","arxiv_id":"2312.10649","repositories_listed":0,"syntology":null},{"url":null,"slug":"ranrac-robust-neural-scene-representations","title":"RANRAC: Robust Neural Scene Representations via Random Ray Consensus","date":"2023-12-15","arxiv_id":"2312.09780","repositories_listed":0,"syntology":null},{"url":null,"slug":"sls4d-sparse-latent-space-for-4d-novel-view","title":"SLS4D: Sparse Latent Space for 4D Novel View Synthesis","date":"2023-12-15","arxiv_id":"2312.09743","repositories_listed":0,"syntology":null},{"url":null,"slug":"cf-nerf-camera-parameter-free-neural-radiance","title":"CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning","date":"2023-12-14","arxiv_id":"2312.08760","repositories_listed":0,"syntology":null},{"url":null,"slug":"valid-variable-length-input-diffusion-for","title":"VaLID: Variable-Length Input Diffusion for Novel View Synthesis","date":"2023-12-14","arxiv_id":"2312.08892","repositories_listed":0,"syntology":null},{"url":null,"slug":"global-latent-neural-rendering","title":"Global Latent Neural Rendering","date":"2023-12-13","arxiv_id":"2312.08338","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-radiance-fields-for-transparent-object","title":"Neural Radiance Fields for Transparent Object Using Visual Hull","date":"2023-12-13","arxiv_id":"2312.08118","repositories_listed":0,"syntology":null},{"url":null,"slug":"novel-view-synthesis-with-view-dependent","title":"Novel View Synthesis with View-Dependent Effects from a Single Image","date":"2023-12-13","arxiv_id":"2312.08071","repositories_listed":0,"syntology":null},{"url":null,"slug":"nvist-in-the-wild-new-view-synthesis-from-a","title":"NViST: In the Wild New View Synthesis from a Single Image with Transformers","date":"2023-12-13","arxiv_id":"2312.08568","repositories_listed":0,"syntology":null},{"url":null,"slug":"smerf-streamable-memory-efficient-radiance","title":"SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration","date":"2023-12-12","arxiv_id":"2312.07541","repositories_listed":0,"syntology":null},{"url":null,"slug":"upfusion-novel-view-diffusion-from-unposed","title":"UpFusion: Novel View Diffusion from Unposed Sparse View Observations","date":"2023-12-11","arxiv_id":"2312.06661","repositories_listed":0,"syntology":null},{"url":null,"slug":"nevrf-neural-video-based-radiance-fields-for","title":"NeVRF: Neural Video-based Radiance Fields for Long-duration Sequences","date":"2023-12-10","arxiv_id":"2312.05855","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-view-unsupervised-image-generation-with","title":"Multi-View Unsupervised Image Generation with Cross Attention Guidance","date":"2023-12-07","arxiv_id":"2312.04337","repositories_listed":0,"syntology":null},{"url":null,"slug":"artist-friendly-relightable-and-animatable","title":"Artist-Friendly Relightable and Animatable Neural Heads","date":"2023-12-06","arxiv_id":"2312.03420","repositories_listed":0,"syntology":null},{"url":null,"slug":"reconfusion-3d-reconstruction-with-diffusion","title":"ReconFusion: 3D Reconstruction with Diffusion Priors","date":"2023-12-05","arxiv_id":"2312.02981","repositories_listed":0,"syntology":null},{"url":null,"slug":"colonnerf-neural-radiance-fields-for-high","title":"ColonNeRF: High-Fidelity Neural Reconstruction of Long Colonoscopy","date":"2023-12-04","arxiv_id":"2312.02015","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-view-synthesis-of-casual-videos","title":"Fast View Synthesis of Casual Videos with Soup-of-Planes","date":"2023-12-04","arxiv_id":"2312.02135","repositories_listed":0,"syntology":null},{"url":null,"slug":"re-nerfing-enforcing-geometric-constraints-on","title":"Re-Nerfing: Improving Novel View Synthesis through Novel View Synthesis","date":"2023-12-04","arxiv_id":"2312.02255","repositories_listed":0,"syntology":null},{"url":null,"slug":"sanerf-hq-segment-anything-for-nerf-in-high","title":"SANeRF-HQ: Segment Anything for NeRF in High Quality","date":"2023-12-03","arxiv_id":"2312.01531","repositories_listed":0,"syntology":null},{"url":null,"slug":"vivid-1-to-3-novel-view-synthesis-with-video","title":"ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models","date":"2023-12-03","arxiv_id":"2312.01305","repositories_listed":0,"syntology":null},{"url":null,"slug":"eve-exploiting-generative-priors-for-radiance","title":"RefinedFields: Radiance Fields Refinement for Unconstrained Scenes","date":"2023-12-01","arxiv_id":"2312.00639","repositories_listed":0,"syntology":null},{"url":null,"slug":"md-splatting-learning-metric-deformation-from","title":"DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation","date":"2023-11-30","arxiv_id":"2312.00583","repositories_listed":0,"syntology":null},{"url":null,"slug":"periodic-vibration-gaussian-dynamic-urban","title":"Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering","date":"2023-11-30","arxiv_id":"2311.18561","repositories_listed":0,"syntology":null},{"url":null,"slug":"uc-nerf-neural-radiance-field-for-under","title":"UC-NeRF: Neural Radiance Field for Under-Calibrated Multi-view Cameras in Autonomous Driving","date":"2023-11-28","arxiv_id":"2311.16945","repositories_listed":0,"syntology":null},{"url":null,"slug":"relightable-3d-gaussian-real-time-point-cloud","title":"Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing","date":"2023-11-27","arxiv_id":"2311.16043","repositories_listed":0,"syntology":null},{"url":null,"slug":"obj-nerf-extract-object-nerfs-from-multi-view","title":"Obj-NeRF: Extract Object NeRFs from Multi-view Images","date":"2023-11-26","arxiv_id":"2311.15291","repositories_listed":0,"syntology":null},{"url":null,"slug":"wildfusion-learning-3d-aware-latent-diffusion","title":"WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space","date":"2023-11-22","arxiv_id":"2311.13570","repositories_listed":0,"syntology":null},{"url":null,"slug":"hyb-nerf-a-multiresolution-hybrid-encoding","title":"Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields","date":"2023-11-21","arxiv_id":"2311.12490","repositories_listed":0,"syntology":null},{"url":null,"slug":"holistic-inverse-rendering-of-complex-facade","title":"Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning","date":"2023-11-20","arxiv_id":"2311.11825","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-shells-for-efficient-neural-radiance","title":"Adaptive Shells for Efficient Neural Radiance Field Rendering","date":"2023-11-16","arxiv_id":"2311.10091","repositories_listed":0,"syntology":null},{"url":null,"slug":"improved-positional-encoding-for-implicit","title":"Improved Positional Encoding for Implicit Neural Representation based Compact Data Representation","date":"2023-11-10","arxiv_id":"2311.06059","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-neural-rasterization-for-large-1","title":"Real-Time Neural Rasterization for Large Scenes","date":"2023-11-09","arxiv_id":"2311.05607","repositories_listed":0,"syntology":null},{"url":null,"slug":"voxnerf-bridging-voxel-representation-and","title":"VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis","date":"2023-11-09","arxiv_id":"2311.05289","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-robust-multi-scale-representation","title":"Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images","date":"2023-11-08","arxiv_id":"2311.04521","repositories_listed":0,"syntology":null},{"url":null,"slug":"3difftection-3d-object-detection-with","title":"3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features","date":"2023-11-07","arxiv_id":"2311.04391","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-aware-talking-head-video-motion-transfer","title":"3D-Aware Talking-Head Video Motion Transfer","date":"2023-11-05","arxiv_id":"2311.02549","repositories_listed":0,"syntology":null},{"url":null,"slug":"mushroom-multi-sensor-hybrid-room-dataset-for","title":"MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis","date":"2023-11-05","arxiv_id":"2311.02778","repositories_listed":0,"syntology":null},{"url":null,"slug":"pdf-point-diffusion-implicit-function-for","title":"PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation","date":"2023-11-03","arxiv_id":"2311.01773","repositories_listed":0,"syntology":null},{"url":null,"slug":"novel-view-synthesis-from-a-single-rgbd-image","title":"Novel View Synthesis from a Single RGBD Image for Indoor Scenes","date":"2023-11-02","arxiv_id":"2311.01065","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-implicit-field-editing-considering","title":"Neural Implicit Field Editing Considering Object-environment Interaction","date":"2023-11-01","arxiv_id":"2311.00425","repositories_listed":0,"syntology":null},{"url":null,"slug":"customnet-zero-shot-object-customization-with","title":"CustomNet: Zero-shot Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models","date":"2023-10-30","arxiv_id":"2310.19784","repositories_listed":0,"syntology":null},{"url":null,"slug":"reconstructive-latent-space-neural-radiance","title":"Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations","date":"2023-10-27","arxiv_id":"2310.17880","repositories_listed":0,"syntology":null},{"url":null,"slug":"invs-repurposing-diffusion-inpainters-for","title":"iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis","date":"2023-10-24","arxiv_id":"2310.16167","repositories_listed":0,"syntology":null},{"url":null,"slug":"vq-nerf-vector-quantization-enhances-implicit","title":"VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations","date":"2023-10-23","arxiv_id":"2310.14487","repositories_listed":0,"syntology":null},{"url":null,"slug":"toss-high-quality-text-guided-novel-view","title":"TOSS:High-quality Text-guided Novel View Synthesis from a Single Image","date":"2023-10-16","arxiv_id":"2310.10644","repositories_listed":0,"syntology":null},{"url":null,"slug":"cbarf-cascaded-bundle-adjusting-neural","title":"CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields from Imperfect Camera Poses","date":"2023-10-15","arxiv_id":"2310.09776","repositories_listed":0,"syntology":null},{"url":null,"slug":"consistent123-improve-consistency-for-one","title":"Consistent123: Improve Consistency for One Image to 3D Object Synthesis","date":"2023-10-12","arxiv_id":"2310.08092","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-generalized-dynamic-novel-view-synthesis","title":"Pseudo-Generalized Dynamic View Synthesis from a Video","date":"2023-10-12","arxiv_id":"2310.08587","repositories_listed":0,"syntology":null},{"url":null,"slug":"singleinsert-inserting-new-concepts-from-a","title":"SingleInsert: Inserting New Concepts from a Single Image into Text-to-Image Models for Flexible Editing","date":"2023-10-12","arxiv_id":"2310.08094","repositories_listed":0,"syntology":null},{"url":null,"slug":"rpcprf-generalizable-mpi-neural-radiance","title":"rpcPRF: Generalizable MPI Neural Radiance Field for Satellite Camera","date":"2023-10-11","arxiv_id":"2310.07179","repositories_listed":0,"syntology":null},{"url":null,"slug":"hifi-123-towards-high-fidelity-one-image-to","title":"HiFi-123: Towards High-fidelity One Image to 3D Content Generation","date":"2023-10-10","arxiv_id":"2310.06744","repositories_listed":0,"syntology":null},{"url":null,"slug":"drag-view-generalizable-novel-view-synthesis","title":"Pose-Free Generalizable Rendering Transformer","date":"2023-10-05","arxiv_id":"2310.03704","repositories_listed":0,"syntology":null},{"url":null,"slug":"consistent-1-to-3-consistent-image-to-3d-view","title":"Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models","date":"2023-10-04","arxiv_id":"2310.03020","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-3dim-learning-a-generalizable","title":"Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day","date":"2023-10-04","arxiv_id":"2310.03015","repositories_listed":0,"syntology":null},{"url":"/paper/mimo-nerf-fast-neural-rendering-with-multi-1","slug":"mimo-nerf-fast-neural-rendering-with-multi-1","title":"MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields","date":"2023-10-03","arxiv_id":"2310.01821","repositories_listed":0,"syntology":{"n":23,"n_ran":19,"n_constructed":0,"n_ran_checked":17,"n_instrument":2,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":17,"n_pointer_only":10,"phrase":"19 ran (of which 0 constructed an object rather than computing a result; 17 with no instrument failure: 0 honoured, 0 violated, 17 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/mimo-nerf-fast-neural-rendering-with-multi-1#ran","syntology_url":"https://syntology.ai/paper/2310.01821","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.01821"}},"official":null}},{"url":null,"slug":"mmpi-a-flexible-radiance-field-representation","title":"MMPI: a Flexible Radiance Field Representation by Multiple Multi-plane Images Blending","date":"2023-09-30","arxiv_id":"2310.00249","repositories_listed":0,"syntology":null},{"url":null,"slug":"forward-flow-for-novel-view-synthesis-of-1","title":"Forward Flow for Novel View Synthesis of Dynamic Scenes","date":"2023-09-29","arxiv_id":"2309.17390","repositories_listed":0,"syntology":null},{"url":null,"slug":"parf-primitive-aware-radiance-fusion-for-1","title":"PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis","date":"2023-09-29","arxiv_id":"2309.17190","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-reconstruction-with-generalizable-neural","title":"3D Reconstruction with Generalizable Neural Fields using Scene Priors","date":"2023-09-26","arxiv_id":"2309.15164","repositories_listed":0,"syntology":null},{"url":null,"slug":"nas-nerf-generative-neural-architecture","title":"NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields","date":"2023-09-25","arxiv_id":"2309.14293","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-satellite-tensorial-radiance-field-for","title":"Fast Satellite Tensorial Radiance Field for Multi-date Satellite Imagery of Large Size","date":"2023-09-21","arxiv_id":"2309.11767","repositories_listed":0,"syntology":null},{"url":null,"slug":"ortexme-occlusion-robust-human-shape-and-pose","title":"ORTexME: Occlusion-Robust Human Shape and Pose via Temporal Average Texture and Mesh Encoding","date":"2023-09-21","arxiv_id":"2309.12183","repositories_listed":0,"syntology":null},{"url":null,"slug":"genlaynerf-generalizable-layered","title":"GenLayNeRF: Generalizable Layered Representations with 3D Model Alignment for Multi-Human View Synthesis","date":"2023-09-20","arxiv_id":"2309.11627","repositories_listed":0,"syntology":null},{"url":null,"slug":"light-field-diffusion-for-single-view-novel","title":"Light Field Diffusion for Single-View Novel View Synthesis","date":"2023-09-20","arxiv_id":"2309.11525","repositories_listed":0,"syntology":null},{"url":null,"slug":"corf-colorizing-radiance-fields-using","title":"ChromaDistill: Colorizing Monochrome Radiance Fields with Knowledge Distillation","date":"2023-09-14","arxiv_id":"2309.07668","repositories_listed":0,"syntology":null},{"url":null,"slug":"sampling-scene-adaptive-hierarchical","title":"SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image","date":"2023-09-12","arxiv_id":"2309.06323","repositories_listed":0,"syntology":null},{"url":null,"slug":"flowibr-leveraging-pre-training-for-efficient","title":"FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes","date":"2023-09-11","arxiv_id":"2309.05418","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-viewpoint-robustness-in-bird-s-eye","title":"Towards Viewpoint Robustness in Bird's Eye View Segmentation","date":"2023-09-11","arxiv_id":"2309.05192","repositories_listed":0,"syntology":null},{"url":null,"slug":"sc-nerf-self-correcting-neural-radiance-field","title":"SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views","date":"2023-09-10","arxiv_id":"2309.05028","repositories_listed":0,"syntology":null},{"url":null,"slug":"blunf-blueprint-neural-field","title":"BluNF: Blueprint Neural Field","date":"2023-09-07","arxiv_id":"2309.03933","repositories_listed":0,"syntology":null},{"url":null,"slug":"instant-continual-learning-of-neural-radiance","title":"Instant Continual Learning of Neural Radiance Fields","date":"2023-09-04","arxiv_id":"2309.01811","repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-free-neural-radiance-fields-via-implicit","title":"Pose-Free Neural Radiance Fields via Implicit Pose Regularization","date":"2023-08-29","arxiv_id":"2308.15049","repositories_listed":0,"syntology":null},{"url":null,"slug":"flexible-techniques-for-differentiable","title":"Flexible Techniques for Differentiable Rendering with 3D Gaussians","date":"2023-08-28","arxiv_id":"2308.14737","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse3d-distilling-multiview-consistent","title":"Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views","date":"2023-08-27","arxiv_id":"2308.14078","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-nerf-quality-by-progressive-camera","title":"Improving NeRF Quality by Progressive Camera Placement for Unrestricted Navigation in Complex Environments","date":"2023-08-24","arxiv_id":"2309.00014","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-interpretable-object-abstraction","title":"Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization","date":"2023-08-22","arxiv_id":"2308.11369","repositories_listed":0,"syntology":null},{"url":null,"slug":"novel-view-synthesis-and-pose-estimation-for","title":"Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views","date":"2023-08-22","arxiv_id":"2308.11198","repositories_listed":0,"syntology":null}],"record_sha256":"2f3f17859d80455513b4e23c01f6358522ef5b2613b74169123eb0727640c196","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}