{"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/idea-net-dynamic-3d-point-cloud-interpolation","title":"IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment","arxiv_id":"2203.11590","date":"2022-03-22","proceeding":"CVPR 2022 1","authors":["Yiming Zeng","Yue Qian","Qijian Zhang","Junhui Hou","Yixuan Yuan","Ying He"],"abstract":"This paper investigates the problem of temporally interpolating dynamic 3D point clouds with large non-rigid deformation. We formulate the problem as estimation of point-wise trajectories (i.e., smooth curves) and further reason that temporal irregularity and under-sampling are two major challenges. To tackle the challenges, we propose IDEA-Net, an end-to-end deep learning framework, which disentangles the problem under the assistance of the explicitly learned temporal consistency. Specifically, we propose a temporal consistency learning module to align two consecutive point cloud frames point-wisely, based on which we can employ linear interpolation to obtain coarse trajectories/in-between frames. To compensate the high-order nonlinear components of trajectories, we apply aligned feature embeddings that encode local geometry properties to regress point-wise increments, which are combined with the coarse estimations. We demonstrate the effectiveness of our method on various point cloud sequences and observe large improvement over state-of-the-art methods both quantitatively and visually. Our framework can bring benefits to 3D motion data acquisition. The source code is publicly available at https://github.com/ZENGYIMING-EAMON/IDEA-Net.git.","url_abs":"https://arxiv.org/abs/2203.11590v1","url_pdf":"https://arxiv.org/pdf/2203.11590v1.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":"idea-net-dynamic-3d-point-cloud-interpolation","repo_url":"https://github.com/zengyiming-eamon/idea-net","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"3d-point-cloud-interpolation","task_name":"3D Point Cloud Interpolation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2203.11590","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.11590"}},"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":"deterministic:regex_extraction","url":"https://github.com/ZENGYIMING-EAMON/IDEA-Net","reach":null}],"summary":{"ran":3,"ran_draft_wrong":1,"unverified":2},"by_repo_kind":{"official":{"samples":6,"ran":4,"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":6,"samples":[{"code_sha256_prefix":"e80607e71240ecf3","entry":"Gradient","repo":"ZENGYIMING-EAMON/IDEA-Net","repo_kind":"official","path":"inf_whole.py","file_url":"https://github.com/ZENGYIMING-EAMON/IDEA-Net/blob/HEAD/inf_whole.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"GPL-3.0","inline_ok":false,"mcp_get_code":{"code_sha256":"e80607e71240ecf3"}},{"code_sha256_prefix":"1f7026d367c83de6","entry":"Modified_softmax","repo":"ZENGYIMING-EAMON/IDEA-Net","repo_kind":"official","path":"inf_whole.py","file_url":"https://github.com/ZENGYIMING-EAMON/IDEA-Net/blob/HEAD/inf_whole.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"GPL-3.0","inline_ok":false,"mcp_get_code":{"code_sha256":"1f7026d367c83de6"}},{"code_sha256_prefix":"3fda0bc7486d07f0","entry":"get_norm_layer","repo":"ZENGYIMING-EAMON/IDEA-Net","repo_kind":"official","path":"inf_whole.py","file_url":"https://github.com/ZENGYIMING-EAMON/IDEA-Net/blob/HEAD/inf_whole.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"GPL-3.0","inline_ok":false,"mcp_get_code":{"code_sha256":"3fda0bc7486d07f0"}},{"code_sha256_prefix":"4424c1bbb22c7d4c","entry":"norm","repo":"ZENGYIMING-EAMON/IDEA-Net","repo_kind":"official","path":"inf_whole.py","file_url":"https://github.com/ZENGYIMING-EAMON/IDEA-Net/blob/HEAD/inf_whole.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"GPL-3.0","inline_ok":false,"mcp_get_code":{"code_sha256":"4424c1bbb22c7d4c"}},{"code_sha256_prefix":"853248b458c7ff47","entry":"CorrNet3D","repo":"ZENGYIMING-EAMON/IDEA-Net","repo_kind":"official","path":"inf_whole.py","file_url":"https://github.com/ZENGYIMING-EAMON/IDEA-Net/blob/HEAD/inf_whole.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"GPL-3.0","inline_ok":false,"mcp_get_code":{"code_sha256":"853248b458c7ff47"}},{"code_sha256_prefix":"9bcb56af2b423f96","entry":"Encoder","repo":"ZENGYIMING-EAMON/IDEA-Net","repo_kind":"official","path":"inf_whole.py","file_url":"https://github.com/ZENGYIMING-EAMON/IDEA-Net/blob/HEAD/inf_whole.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"GPL-3.0","inline_ok":false,"mcp_get_code":{"code_sha256":"9bcb56af2b423f96"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}