{"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/perfception-perception-using-radiance-fields","title":"PeRFception: Perception using Radiance Fields","arxiv_id":"2208.11537","date":"2022-08-24","proceeding":null,"authors":["Yoonwoo Jeong","Seungjoo Shin","Junha Lee","Christopher Choy","Animashree Anandkumar","Minsu Cho","Jaesik Park"],"abstract":"The recent progress in implicit 3D representation, i.e., Neural Radiance Fields (NeRFs), has made accurate and photorealistic 3D reconstruction possible in a differentiable manner. This new representation can effectively convey the information of hundreds of high-resolution images in one compact format and allows photorealistic synthesis of novel views. In this work, using the variant of NeRF called Plenoxels, we create the first large-scale implicit representation datasets for perception tasks, called the PeRFception, which consists of two parts that incorporate both object-centric and scene-centric scans for classification and segmentation. It shows a significant memory compression rate (96.4\\%) from the original dataset, while containing both 2D and 3D information in a unified form. We construct the classification and segmentation models that directly take as input this implicit format and also propose a novel augmentation technique to avoid overfitting on backgrounds of images. The code and data are publicly available in https://postech-cvlab.github.io/PeRFception .","url_abs":"https://arxiv.org/abs/2208.11537v1","url_pdf":"https://arxiv.org/pdf/2208.11537v1.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":"perfception-perception-using-radiance-fields","repo_url":"https://github.com/POSTECH-CVLab/PeRFception","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"3d-reconstruction","task_name":"3D Reconstruction"},{"task_slug":"nerf","task_name":"NeRF"},{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2208.11537","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2208.11537"}},"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/POSTECH-CVLab/PeRFception","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"unverified":8},"by_repo_kind":{"official":{"samples":8,"ran":0,"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":0,"samples":[{"code_sha256_prefix":"3a033cf45b2fc7ca","entry":"R_axis_angle","repo":"POSTECH-CVLab/PeRFception","repo_kind":"official","path":"dataloader/random_pose.py","file_url":"https://github.com/POSTECH-CVLab/PeRFception/blob/HEAD/dataloader/random_pose.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"3a033cf45b2fc7ca"}},{"code_sha256_prefix":"62fccfe3155af2dd","entry":"detect_blur_fft","repo":"POSTECH-CVLab/PeRFception","repo_kind":"official","path":"dataloader/data_util/scannet.py","file_url":"https://github.com/POSTECH-CVLab/PeRFception/blob/HEAD/dataloader/data_util/scannet.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"62fccfe3155af2dd"}},{"code_sha256_prefix":"363ce9b13162315a","entry":"detect_blur_fft_batch","repo":"POSTECH-CVLab/PeRFception","repo_kind":"official","path":"dataloader/data_util/scannet.py","file_url":"https://github.com/POSTECH-CVLab/PeRFception/blob/HEAD/dataloader/data_util/scannet.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"363ce9b13162315a"}},{"code_sha256_prefix":"d4c9eac2f99d1843","entry":"manipulating_intrinsic","repo":"POSTECH-CVLab/PeRFception","repo_kind":"official","path":"dataloader/interface.py","file_url":"https://github.com/POSTECH-CVLab/PeRFception/blob/HEAD/dataloader/interface.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"d4c9eac2f99d1843"}},{"code_sha256_prefix":"44e74a138d088717","entry":"pose_interp","repo":"POSTECH-CVLab/PeRFception","repo_kind":"official","path":"dataloader/random_pose.py","file_url":"https://github.com/POSTECH-CVLab/PeRFception/blob/HEAD/dataloader/random_pose.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"44e74a138d088717"}},{"code_sha256_prefix":"a11dfc0085ee2755","entry":"random_pose","repo":"POSTECH-CVLab/PeRFception","repo_kind":"official","path":"dataloader/random_pose.py","file_url":"https://github.com/POSTECH-CVLab/PeRFception/blob/HEAD/dataloader/random_pose.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"a11dfc0085ee2755"}},{"code_sha256_prefix":"dfc195c7eaa4c05d","entry":"spherical_pose","repo":"POSTECH-CVLab/PeRFception","repo_kind":"official","path":"dataloader/spherical_poses.py","file_url":"https://github.com/POSTECH-CVLab/PeRFception/blob/HEAD/dataloader/spherical_poses.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"dfc195c7eaa4c05d"}},{"code_sha256_prefix":"008a8201b3a25a30","entry":"spherical_poses","repo":"POSTECH-CVLab/PeRFception","repo_kind":"official","path":"dataloader/spherical_poses.py","file_url":"https://github.com/POSTECH-CVLab/PeRFception/blob/HEAD/dataloader/spherical_poses.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"008a8201b3a25a30"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}