{"about":{"site":"https://codewithpapers.app","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.","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"},"url":"/paper/lightplane-highly-scalable-components-for","title":"Lightplane: Highly-Scalable Components for Neural 3D Fields","arxiv_id":"2404.19760","date":"2024-04-30","proceeding":null,"authors":["Ang Cao","Justin Johnson","Andrea Vedaldi","David Novotny"],"abstract":"Contemporary 3D research, particularly in reconstruction and generation, heavily relies on 2D images for inputs or supervision. However, current designs for these 2D-3D mapping are memory-intensive, posing a significant bottleneck for existing methods and hindering new applications. In response, we propose a pair of highly scalable components for 3D neural fields: Lightplane Render and Splatter, which significantly reduce memory usage in 2D-3D mapping. These innovations enable the processing of vastly more and higher resolution images with small memory and computational costs. We demonstrate their utility in various applications, from benefiting single-scene optimization with image-level losses to realizing a versatile pipeline for dramatically scaling 3D reconstruction and generation. Code: \\url{https://github.com/facebookresearch/lightplane}.","url_abs":"https://arxiv.org/abs/2404.19760v1","url_pdf":"https://arxiv.org/pdf/2404.19760v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"lightplane-highly-scalable-components-for","repo_url":"https://github.com/facebookresearch/lightplane","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"3d-reconstruction","task_name":"3D Reconstruction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2404.19760","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.19760"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/facebookresearch/lightplane","reach":{"status":"ok","spdx":"NOASSERTION"}}],"summary":{"ran":6,"unverified":3},"by_repo_kind":{"official":{"samples":9,"ran":6,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":9,"samples":[{"code_sha256_prefix":"af115698844d805d","entry":"calc_harmonic_embedding","repo":"facebookresearch/lightplane","repo_kind":"official","path":"lightplane/ray_utils.py","file_url":"https://github.com/facebookresearch/lightplane/blob/HEAD/lightplane/ray_utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"af115698844d805d"}},{"code_sha256_prefix":"268b25daf002396d","entry":"calc_harmonic_embedding_dim","repo":"facebookresearch/lightplane","repo_kind":"official","path":"lightplane/ray_utils.py","file_url":"https://github.com/facebookresearch/lightplane/blob/HEAD/lightplane/ray_utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"268b25daf002396d"}},{"code_sha256_prefix":"4ef660ac094e0acf","entry":"flatten_grid","repo":"facebookresearch/lightplane","repo_kind":"official","path":"lightplane/misc_utils.py","file_url":"https://github.com/facebookresearch/lightplane/blob/HEAD/lightplane/misc_utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"4ef660ac094e0acf"}},{"code_sha256_prefix":"8df745b72a9c90bb","entry":"if_not_none_else","repo":"facebookresearch/lightplane","repo_kind":"official","path":"lightplane/misc_utils.py","file_url":"https://github.com/facebookresearch/lightplane/blob/HEAD/lightplane/misc_utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"8df745b72a9c90bb"}},{"code_sha256_prefix":"20eb205262418a4e","entry":"init_splatter_params","repo":"facebookresearch/lightplane","repo_kind":"official","path":"lightplane/mlp_utils.py","file_url":"https://github.com/facebookresearch/lightplane/blob/HEAD/lightplane/mlp_utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"20eb205262418a4e"}},{"code_sha256_prefix":"ce5c445d01b07eb9","entry":"jitter_near_far","repo":"facebookresearch/lightplane","repo_kind":"official","path":"lightplane/ray_utils.py","file_url":"https://github.com/facebookresearch/lightplane/blob/HEAD/lightplane/ray_utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"ce5c445d01b07eb9"}},{"code_sha256_prefix":"ce3a9ecea79dcb44","entry":"get_triton_function_input_dims","repo":"facebookresearch/lightplane","repo_kind":"official","path":"lightplane/mlp_utils.py","file_url":"https://github.com/facebookresearch/lightplane/blob/HEAD/lightplane/mlp_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"ce3a9ecea79dcb44"}},{"code_sha256_prefix":"b824da035e5cf6cf","entry":"init_decoder_params","repo":"facebookresearch/lightplane","repo_kind":"official","path":"lightplane/mlp_utils.py","file_url":"https://github.com/facebookresearch/lightplane/blob/HEAD/lightplane/mlp_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"b824da035e5cf6cf"}},{"code_sha256_prefix":"03818b33ea0e00c4","entry":"unflatten_grid","repo":"facebookresearch/lightplane","repo_kind":"official","path":"lightplane/misc_utils.py","file_url":"https://github.com/facebookresearch/lightplane/blob/HEAD/lightplane/misc_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"03818b33ea0e00c4"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}