{"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/inverse-rendering/papers/2","list_of":"/task/inverse-rendering","task":"Inverse Rendering","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":2,"pages_in_order":3,"rows_per_page":100,"rows":[101,200],"of":271,"counts":{"archive_papers_tagged":271,"with_a_code_link":87,"where_syntology_ran_a_sample":20,"not_listed_spam_title":0,"listed":271,"listed_where_code_ran":20,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":13,"every_run_a_failure_of_syntologys_instrument":7,"listed_with_a_run_with_no_instrument_failure":13,"listed_every_run_a_failure_of_syntologys_instrument":7,"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/inverse-rendering","prev":"/task/inverse-rendering","next":"/task/inverse-rendering/papers/3","papers":[{"url":null,"slug":"supercarver-texture-consistent-3d-geometry","title":"SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generation","date":"2025-03-12","arxiv_id":"2503.09439","repositories_listed":0,"syntology":null},{"url":null,"slug":"vid2avatar-pro-authentic-avatar-from-videos","title":"Vid2Avatar-Pro: Authentic Avatar from Videos in the Wild via Universal Prior","date":"2025-03-03","arxiv_id":"2503.01610","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-detail-enhancement-for-physically","title":"Generative Detail Enhancement for Physically Based Materials","date":"2025-02-19","arxiv_id":"2502.13994","repositories_listed":0,"syntology":null},{"url":null,"slug":"glossgau-efficient-inverse-rendering-for","title":"GlossGau: Efficient Inverse Rendering for Glossy Surface with Anisotropic Spherical Gaussian","date":"2025-02-19","arxiv_id":"2502.14129","repositories_listed":0,"syntology":null},{"url":null,"slug":"omg-opacity-matters-in-material-modeling-with","title":"OMG: Opacity Matters in Material Modeling with Gaussian Splatting","date":"2025-02-16","arxiv_id":"2502.10988","repositories_listed":0,"syntology":null},{"url":null,"slug":"npsim-nighttime-photorealistic-simulation","title":"NPSim: Nighttime Photorealistic Simulation From Daytime Images With Monocular Inverse Rendering and Ray Tracing","date":"2025-02-15","arxiv_id":"2502.10720","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-view-3d-surface-reconstruction-from-sar","title":"Multi-view 3D surface reconstruction from SAR images by inverse rendering","date":"2025-02-14","arxiv_id":"2502.10492","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusionrenderer-neural-inverse-and-forward","title":"DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models","date":"2025-01-30","arxiv_id":"2501.18590","repositories_listed":0,"syntology":null},{"url":null,"slug":"bg-triangle-bezier-gaussian-triangle-for-3d-1","title":"BG-Triangle: Bezier Gaussian Triangle for 3D Vectorization and Rendering","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-renderer-neural-inverse-and-forward","title":"Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lirm-large-inverse-rendering-model-for","title":"LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"shading-meets-motion-self-supervised-indoor","title":"Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"irgs-inter-reflective-gaussian-splatting-with","title":"IRGS: Inter-Reflective Gaussian Splatting with 2D Gaussian Ray Tracing","date":"2024-12-20","arxiv_id":"2412.15867","repositories_listed":0,"syntology":null},{"url":null,"slug":"uni-renderer-unifying-rendering-and-inverse","title":"Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion","date":"2024-12-19","arxiv_id":"2412.15050","repositories_listed":0,"syntology":null},{"url":null,"slug":"genlit-reformulating-single-image-relighting","title":"GenLit: Reformulating Single-Image Relighting as Video Generation","date":"2024-12-15","arxiv_id":"2412.11224","repositories_listed":0,"syntology":null},{"url":null,"slug":"acquisition-of-spatially-varying-reflectance","title":"Acquisition of Spatially-Varying Reflectance and Surface Normals via Polarized Reflectance Fields","date":"2024-12-13","arxiv_id":"2412.09772","repositories_listed":0,"syntology":null},{"url":null,"slug":"materialpicker-multi-modal-material","title":"MaterialPicker: Multi-Modal Material Generation with Diffusion Transformers","date":"2024-12-04","arxiv_id":"2412.03225","repositories_listed":0,"syntology":null},{"url":null,"slug":"differentiable-inverse-rendering-with","title":"Differentiable Inverse Rendering with Interpretable Basis BRDFs","date":"2024-11-27","arxiv_id":"2411.17994","repositories_listed":0,"syntology":null},{"url":null,"slug":"neisf-neural-incident-stokes-field-for-1","title":"NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and Dielectrics","date":"2024-11-15","arxiv_id":"2411.10189","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-attacks-using-differentiable","title":"RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering","date":"2024-11-14","arxiv_id":"2411.09749","repositories_listed":0,"syntology":null},{"url":null,"slug":"gus-ir-gaussian-splatting-with-unified","title":"GUS-IR: Gaussian Splatting with Unified Shading for Inverse Rendering","date":"2024-11-12","arxiv_id":"2411.07478","repositories_listed":0,"syntology":null},{"url":null,"slug":"epi-naf-enhancing-neural-attenuation-fields","title":"Epi-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions","date":"2024-11-09","arxiv_id":"2411.06181","repositories_listed":0,"syntology":null},{"url":null,"slug":"geosplatting-towards-geometry-guided-gaussian","title":"GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering","date":"2024-10-31","arxiv_id":"2410.24204","repositories_listed":0,"syntology":null},{"url":null,"slug":"uravatar-universal-relightable-gaussian-codec","title":"URAvatar: Universal Relightable Gaussian Codec Avatars","date":"2024-10-31","arxiv_id":"2410.24223","repositories_listed":0,"syntology":null},{"url":null,"slug":"practical-and-accurate-reconstruction-of-an","title":"Practical and Accurate Reconstruction of an Illuminant's Spectral Power Distribution for Inverse Rendering Pipelines","date":"2024-10-30","arxiv_id":"2410.22679","repositories_listed":0,"syntology":null},{"url":null,"slug":"environment-maps-editing-using-inverse","title":"Environment Maps Editing using Inverse Rendering and Adversarial Implicit Functions","date":"2024-10-24","arxiv_id":"2410.18622","repositories_listed":0,"syntology":null},{"url":null,"slug":"glossygs-inverse-rendering-of-glossy-objects","title":"GlossyGS: Inverse Rendering of Glossy Objects with 3D Gaussian Splatting","date":"2024-10-17","arxiv_id":"2410.13349","repositories_listed":0,"syntology":null},{"url":null,"slug":"del-discrete-element-learner-for-learning-3d","title":"DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering","date":"2024-10-11","arxiv_id":"2410.08983","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-perspective-correct-3d-gaussian","title":"Efficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency","date":"2024-10-10","arxiv_id":"2410.08129","repositories_listed":0,"syntology":null},{"url":null,"slug":"relitlrm-generative-relightable-radiance-for","title":"RelitLRM: Generative Relightable Radiance for Large Reconstruction Models","date":"2024-10-08","arxiv_id":"2410.06231","repositories_listed":0,"syntology":null},{"url":null,"slug":"flash-splat-3d-reflection-removal-with-flash","title":"Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats","date":"2024-10-03","arxiv_id":"2410.02764","repositories_listed":0,"syntology":null},{"url":null,"slug":"gi-gs-global-illumination-decomposition-on","title":"GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering","date":"2024-10-03","arxiv_id":"2410.02619","repositories_listed":0,"syntology":null},{"url":null,"slug":"rise-sdf-a-relightable-information-shared","title":"RISE-SDF: a Relightable Information-Shared Signed Distance Field for Glossy Object Inverse Rendering","date":"2024-09-30","arxiv_id":"2409.20140","repositories_listed":0,"syntology":null},{"url":null,"slug":"materialfusion-enhancing-inverse-rendering","title":"MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors","date":"2024-09-23","arxiv_id":"2409.15273","repositories_listed":0,"syntology":null},{"url":null,"slug":"phys3dgs-physically-based-3d-gaussian","title":"Phys3DGS: Physically-based 3D Gaussian Splatting for Inverse Rendering","date":"2024-09-16","arxiv_id":"2409.10335","repositories_listed":0,"syntology":null},{"url":null,"slug":"flash-cache-reducing-bias-in-radiance-cache","title":"Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering","date":"2024-09-09","arxiv_id":"2409.05867","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffcsg-differentiable-csg-via-rasterization","title":"DiffCSG: Differentiable CSG via Rasterization","date":"2024-09-02","arxiv_id":"2409.01421","repositories_listed":0,"syntology":null},{"url":null,"slug":"merlin-single-shot-material-estimation-and","title":"MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo","date":"2024-09-01","arxiv_id":"2409.00674","repositories_listed":0,"syntology":null},{"url":null,"slug":"g3fa-geometry-guided-gan-for-face-animation","title":"G3FA: Geometry-guided GAN for Face Animation","date":"2024-08-23","arxiv_id":"2408.13049","repositories_listed":0,"syntology":null},{"url":null,"slug":"photorealistic-object-insertion-with","title":"Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering","date":"2024-08-19","arxiv_id":"2408.09702","repositories_listed":0,"syntology":null},{"url":null,"slug":"progressive-radiance-distillation-for-inverse","title":"Progressive Radiance Distillation for Inverse Rendering with Gaussian Splatting","date":"2024-08-14","arxiv_id":"2408.07595","repositories_listed":0,"syntology":null},{"url":null,"slug":"many-worlds-inverse-rendering","title":"Many-Worlds Inverse Rendering","date":"2024-08-13","arxiv_id":"2408.16005","repositories_listed":0,"syntology":null},{"url":null,"slug":"pbir-nie-glossy-object-capture-under-non","title":"PBIR-NIE: Glossy Object Capture under Non-Distant Lighting","date":"2024-08-13","arxiv_id":"2408.06878","repositories_listed":0,"syntology":null},{"url":null,"slug":"surfel-based-gaussian-inverse-rendering-for","title":"Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Video","date":"2024-07-21","arxiv_id":"2407.15212","repositories_listed":0,"syntology":null},{"url":null,"slug":"ss-sfp-neural-inverse-rendering-for-self","title":"SS-SfP:Neural Inverse Rendering for Self Supervised Shape from (Mixed) Polarization","date":"2024-07-12","arxiv_id":"2407.09294","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-polarization-cues-for-single-shot-shape","title":"Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation","date":"2024-07-11","arxiv_id":"2407.08149","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-times-monte-carlo-rendering-for-inter","title":"Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction","date":"2024-07-08","arxiv_id":"2407.05771","repositories_listed":0,"syntology":null},{"url":null,"slug":"blind-inversion-using-latent-diffusion-priors","title":"Blind Inversion using Latent Diffusion Priors","date":"2024-07-01","arxiv_id":"2407.01027","repositories_listed":0,"syntology":null},{"url":null,"slug":"intrinsic-papr-for-point-level-3d-scene","title":"Intrinsic PAPR for Point-level 3D Scene Albedo and Shading Editing","date":"2024-06-29","arxiv_id":"2407.00500","repositories_listed":0,"syntology":null},{"url":null,"slug":"mirres-multi-bounce-inverse-rendering-using","title":"Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling","date":"2024-06-24","arxiv_id":"2406.16360","repositories_listed":0,"syntology":null},{"url":null,"slug":"illuminerf-3d-relighting-without-inverse","title":"IllumiNeRF: 3D Relighting Without Inverse Rendering","date":"2024-06-10","arxiv_id":"2406.06527","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-reconstruction-with-fast-dipole-sums","title":"3D Reconstruction with Fast Dipole Sums","date":"2024-05-27","arxiv_id":"2405.16788","repositories_listed":0,"syntology":null},{"url":null,"slug":"volumetric-primitives-for-modeling-and","title":"Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media","date":"2024-05-24","arxiv_id":"2405.15425","repositories_listed":0,"syntology":null},{"url":null,"slug":"gs-ror-3d-gaussian-splatting-for-reflective","title":"GS-ROR$^2$: Bidirectional-guided 3DGS and SDF for Reflective Object Relighting and Reconstruction","date":"2024-05-22","arxiv_id":"2406.18544","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-simple-approach-to-differentiable-rendering","title":"A Simple Approach to Differentiable Rendering of SDFs","date":"2024-05-14","arxiv_id":"2405.08733","repositories_listed":0,"syntology":null},{"url":null,"slug":"rgb-leftrightarrow-x-image-decomposition-and","title":"RGB$\\leftrightarrow$X: Image decomposition and synthesis using material- and lighting-aware diffusion models","date":"2024-05-01","arxiv_id":"2405.00666","repositories_listed":0,"syntology":null},{"url":null,"slug":"esr-nerf-emissive-source-reconstruction-using","title":"ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images","date":"2024-04-24","arxiv_id":"2404.15707","repositories_listed":0,"syntology":null},{"url":null,"slug":"unveiling-the-ambiguity-in-neural-inverse","title":"Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis","date":"2024-04-19","arxiv_id":"2404.12819","repositories_listed":0,"syntology":null},{"url":null,"slug":"inverse-neural-rendering-for-explainable","title":"Inverse Neural Rendering for Explainable Multi-Object Tracking","date":"2024-04-18","arxiv_id":"2404.12359","repositories_listed":0,"syntology":null},{"url":null,"slug":"intrinsicanything-learning-diffusion-priors","title":"IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination","date":"2024-04-17","arxiv_id":"2404.11593","repositories_listed":0,"syntology":null},{"url":null,"slug":"physavatar-learning-the-physics-of-dressed-3d","title":"PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations","date":"2024-04-05","arxiv_id":"2404.04421","repositories_listed":0,"syntology":null},{"url":null,"slug":"dr-hair-reconstructing-scalp-connected-hair","title":"Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-training via Differentiable Rendering of Line Segments","date":"2024-03-26","arxiv_id":"2403.17496","repositories_listed":0,"syntology":null},{"url":null,"slug":"inverse-rendering-of-glossy-objects-via-the","title":"Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields","date":"2024-03-24","arxiv_id":"2403.16224","repositories_listed":0,"syntology":null},{"url":null,"slug":"gani-global-and-near-field-illumination-aware","title":"GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering","date":"2024-03-22","arxiv_id":"2403.15651","repositories_listed":0,"syntology":null},{"url":null,"slug":"sir-multi-view-inverse-rendering-with","title":"SIR: Multi-view Inverse Rendering with Decomposable Shadow for Indoor Scenes","date":"2024-02-09","arxiv_id":"2402.06136","repositories_listed":0,"syntology":null},{"url":null,"slug":"nerf-as-non-distant-environment-emitter-in","title":"NeRF as a Non-Distant Environment Emitter in Physics-based Inverse Rendering","date":"2024-02-07","arxiv_id":"2402.04829","repositories_listed":0,"syntology":null},{"url":null,"slug":"iris-inverse-rendering-of-indoor-scenes-from","title":"IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images","date":"2024-01-23","arxiv_id":"2401.12977","repositories_listed":0,"syntology":null},{"url":null,"slug":"shinobi-shape-and-illumination-using-neural","title":"SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild","date":"2024-01-18","arxiv_id":"2401.10171","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-rendering-and-its-hardware","title":"Neural Rendering and Its Hardware Acceleration: A Review","date":"2024-01-06","arxiv_id":"2402.00028","repositories_listed":0,"syntology":null},{"url":null,"slug":"turbosl-dense-accurate-and-fast-3d-by-neural","title":"TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"vminer-versatile-multi-view-inverse-rendering","title":"VMINer: Versatile Multi-view Inverse Rendering with Near- and Far-field Light Sources","date":"2024-01-01","arxiv_id":null,"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":"zs-srt-an-efficient-zero-shot-super","title":"ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields","date":"2023-12-19","arxiv_id":"2312.12122","repositories_listed":0,"syntology":null},{"url":null,"slug":"mononphm-dynamic-head-reconstruction-from","title":"MonoNPHM: Dynamic Head Reconstruction from Monocular Videos","date":"2023-12-11","arxiv_id":"2312.06740","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-reflectance-map-single-image","title":"Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance","date":"2023-12-07","arxiv_id":"2312.04529","repositories_listed":0,"syntology":null},{"url":null,"slug":"differentiable-point-based-inverse-rendering","title":"Differentiable Point-based Inverse Rendering","date":"2023-12-05","arxiv_id":"2312.02480","repositories_listed":0,"syntology":null},{"url":null,"slug":"neisf-neural-incident-stokes-field-for","title":"NeISF: Neural Incident Stokes Field for Geometry and Material Estimation","date":"2023-11-22","arxiv_id":"2311.13187","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":"nepf-neural-photon-field-for-single-stage","title":"NePF: Neural Photon Field for Single-Stage Inverse Rendering","date":"2023-11-20","arxiv_id":"2311.11555","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-image-3d-human-digitization-with-shape","title":"Single-Image 3D Human Digitization with Shape-Guided Diffusion","date":"2023-11-15","arxiv_id":"2311.09221","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepsharm-multi-view-shape-and-reflectance","title":"DeepShaRM: Multi-View Shape and Reflectance Map Recovery Under Unknown Lighting","date":"2023-10-26","arxiv_id":"2310.17632","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-sampling-and-optimisation-for-inverse","title":"Joint Sampling and Optimisation for Inverse Rendering","date":"2023-09-27","arxiv_id":"2309.15676","repositories_listed":0,"syntology":null},{"url":null,"slug":"openillumination-a-multi-illumination-dataset","title":"OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects","date":"2023-09-14","arxiv_id":"2309.07921","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-theory-of-topological-derivatives-for","title":"A Theory of Topological Derivatives for Inverse Rendering of Geometry","date":"2023-08-19","arxiv_id":"2308.09865","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-multi-view-inverse-rendering-using","title":"Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method","date":"2023-08-19","arxiv_id":"2308.10003","repositories_listed":0,"syntology":null},{"url":null,"slug":"relightable-and-animatable-neural-avatar-from","title":"Relightable and Animatable Neural Avatar from Sparse-View Video","date":"2023-08-15","arxiv_id":"2308.07903","repositories_listed":0,"syntology":null},{"url":null,"slug":"measured-albedo-in-the-wild-filling-the-gap","title":"Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation","date":"2023-06-27","arxiv_id":"2306.15662","repositories_listed":0,"syntology":null},{"url":null,"slug":"urbanir-large-scale-urban-scene-inverse","title":"UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video","date":"2023-06-15","arxiv_id":"2306.09349","repositories_listed":0,"syntology":null},{"url":null,"slug":"factored-neus-reconstructing-surfaces","title":"Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects","date":"2023-05-29","arxiv_id":"2305.17929","repositories_listed":0,"syntology":null},{"url":null,"slug":"eclipse-disambiguating-illumination-and","title":"Eclipse: Disambiguating Illumination and Materials using Unintended Shadows","date":"2023-05-25","arxiv_id":"2305.16321","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-category-level-3d-pose-estimation-from","title":"Robust Category-Level 3D Pose Estimation from Synthetic Data","date":"2023-05-25","arxiv_id":"2305.16124","repositories_listed":0,"syntology":null},{"url":null,"slug":"inverse-global-illumination-using-a-neural","title":"Inverse Global Illumination using a Neural Radiometric Prior","date":"2023-05-03","arxiv_id":"2305.02192","repositories_listed":0,"syntology":null},{"url":null,"slug":"scatternerf-seeing-through-fog-with","title":"ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering","date":"2023-05-03","arxiv_id":"2305.02103","repositories_listed":0,"syntology":null},{"url":"/paper/neural-pbir-reconstruction-of-shape-material","slug":"neural-pbir-reconstruction-of-shape-material","title":"Neural-PBIR Reconstruction of Shape, Material, and Illumination","date":"2023-04-26","arxiv_id":"2304.13445","repositories_listed":0,"syntology":null},{"url":null,"slug":"pointersect-neural-rendering-with-cloud-ray","title":"Pointersect: Neural Rendering with Cloud-Ray Intersection","date":"2023-04-24","arxiv_id":"2304.12390","repositories_listed":0,"syntology":null},{"url":null,"slug":"inferring-fluid-dynamics-via-inverse","title":"Inferring Fluid Dynamics via Inverse Rendering","date":"2023-04-10","arxiv_id":"2304.04446","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-fields-meet-explicit-geometric","title":"Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes","date":"2023-04-06","arxiv_id":"2304.03266","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-microfacet-fields-for-inverse","title":"Neural Microfacet Fields for Inverse Rendering","date":"2023-03-31","arxiv_id":"2303.17806","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-single-view-image","title":"Weakly-supervised Single-view Image Relighting","date":"2023-03-24","arxiv_id":"2303.13852","repositories_listed":0,"syntology":null},{"url":null,"slug":"melon-nerf-with-unposed-images-using","title":"MELON: NeRF with Unposed Images in SO(3)","date":"2023-03-14","arxiv_id":"2303.08096","repositories_listed":0,"syntology":null}],"record_sha256":"298a0078946dd659a0c7d10dd486ebbc9e161218c416bcd072929a8f56758e72","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}