{"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":"/code/mat2euler","entry":"mat2euler","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":10,"n_papers_ran":8,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":4,"n_samples_ran":2,"n_samples_fingerprinted":0,"n_places":10,"n_places_pointer_only":2,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":2,"unverified":2},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2411.04996","paper":"/paper/mixture-of-transformers-a-sparse-and-scalable","title":"Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models","date":"2024-11-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"allenzren/open-pi-zero","path":"src/utils/geometry.py","file_url":"https://github.com/allenzren/open-pi-zero/blob/HEAD/src/utils/geometry.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"eed6f0c4289630b1","mcp_get_code":{"code_sha256":"eed6f0c4289630b1"}},{"arxiv_id":"2409.06171","paper":"/paper/loss-distillation-via-gradient-matching-for","title":"Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance","date":"2024-09-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zhang-vislab/iros2024-lossdistillationweightedcd","path":"codes/pointnet_utils/eulerangles.py","file_url":"https://github.com/zhang-vislab/iros2024-lossdistillationweightedcd/blob/HEAD/codes/pointnet_utils/eulerangles.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"dd1f3e0945b180f2","mcp_get_code":{"code_sha256":"dd1f3e0945b180f2"}},{"arxiv_id":"2401.01552","paper":"/paper/cra-pcn-point-cloud-completion-with-intra-and","title":"CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers","date":"2024-01-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"easyry/cra-pcn","path":"pointnet_utils/eulerangles.py","file_url":"https://github.com/easyry/cra-pcn/blob/HEAD/pointnet_utils/eulerangles.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"dd1f3e0945b180f2","mcp_get_code":{"code_sha256":"dd1f3e0945b180f2"}},{"arxiv_id":"2310.07206","paper":"/paper/deepsimho-stable-pose-estimation-for-hand","title":"DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation","date":"2023-10-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"rongakowang/DeepSimHO","path":"model/rotation.py","file_url":"https://github.com/rongakowang/DeepSimHO/blob/HEAD/model/rotation.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"14a97cf04450d6fa","mcp_get_code":{"code_sha256":"14a97cf04450d6fa"}},{"arxiv_id":"2106.04779","paper":"/paper/point-cloud-upsampling-via-disentangled","title":"Point Cloud Upsampling via Disentangled Refinement","date":"2021-06-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"liruihui/Dis-PU","path":"Common/eulerangles.py","file_url":"https://github.com/liruihui/Dis-PU/blob/HEAD/Common/eulerangles.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"dd1f3e0945b180f2","mcp_get_code":{"code_sha256":"dd1f3e0945b180f2"}},{"arxiv_id":"2004.01301","paper":"/paper/generative-pointnet-energy-based-learning-on","title":"Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification","date":"2020-04-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"fei960922/GPointNet","path":"utils/eulerangles.py","file_url":"https://github.com/fei960922/GPointNet/blob/HEAD/utils/eulerangles.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"dd1f3e0945b180f2","mcp_get_code":{"code_sha256":"dd1f3e0945b180f2"}},{"arxiv_id":"2001.05574","paper":"/paper/advbox-a-toolbox-to-generate-adversarial","title":"Advbox: a toolbox to generate adversarial examples that fool neural networks","date":"2020-01-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"advboxes/AdvBox","path":"advbox_family/ODD/EOT_simulation/eulerangles.py","file_url":"https://github.com/advboxes/AdvBox/blob/HEAD/advbox_family/ODD/EOT_simulation/eulerangles.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"dd1f3e0945b180f2","mcp_get_code":{"code_sha256":"dd1f3e0945b180f2"}},{"arxiv_id":"1909.09115","paper":"/paper/self-supervised-learning-of-depth-and-motion","title":"Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency","date":"2019-09-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hlzz/DeepMatchVO","path":"geo_utils.py","file_url":"https://github.com/hlzz/DeepMatchVO/blob/HEAD/geo_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"d692f8d01af4e245","mcp_get_code":{"code_sha256":"d692f8d01af4e245"}},{"arxiv_id":"1905.06292","paper":"/paper/3d-point-cloud-generative-adversarial-network","title":"3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions","date":"2019-05-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"EricDai0/AdvGCGAN","path":"eulerangles.py","file_url":"https://github.com/EricDai0/AdvGCGAN/blob/HEAD/eulerangles.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"dd1f3e0945b180f2","mcp_get_code":{"code_sha256":"dd1f3e0945b180f2"}},{"arxiv_id":"aaai_6994","paper":null,"title":"arXiv:aaai_6994","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"dlinzhao/JSNet","path":"utils/eulerangles.py","file_url":"https://github.com/dlinzhao/JSNet/blob/HEAD/utils/eulerangles.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"dd1f3e0945b180f2","mcp_get_code":{"code_sha256":"dd1f3e0945b180f2"}}]}