{"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/eval-sh","entry":"eval_sh","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":22,"n_papers_ran":18,"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":5,"n_samples_ran":3,"n_samples_fingerprinted":0,"n_places":22,"n_places_pointer_only":8,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":3,"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":"2507.09168","paper":null,"title":"arXiv:2507.09168","date":null,"month_inferred_from_arxiv_id":"2025-07","title_source":null,"repo":"Alex-Zhu1/SSD","path":"convert.py","file_url":"https://github.com/Alex-Zhu1/SSD/blob/HEAD/convert.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"7cafa33c7aed0a09","mcp_get_code":{"code_sha256":"7cafa33c7aed0a09"}},{"arxiv_id":"2407.11394","paper":"/paper/dreamcatalyst-fast-and-high-quality-3d","title":"DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation","date":"2024-07-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"kaist-cvml-lab/DreamCatalyst","path":"threestudio/convert.py","file_url":"https://github.com/kaist-cvml-lab/DreamCatalyst/blob/HEAD/threestudio/convert.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"7cafa33c7aed0a09","mcp_get_code":{"code_sha256":"7cafa33c7aed0a09"}},{"arxiv_id":"2404.17974","paper":"/paper/hvofusion-incremental-mesh-reconstruction","title":"HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel Octree","date":"2024-04-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Frankuzi/HVOFusion","path":"core/sh.py","file_url":"https://github.com/Frankuzi/HVOFusion/blob/HEAD/core/sh.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"0c1cc6be0500bc41","mcp_get_code":{"code_sha256":"0c1cc6be0500bc41"}},{"arxiv_id":"2404.06091","paper":"/paper/hash3d-training-free-acceleration-for-3d","title":"Hash3D: Training-free Acceleration for 3D Generation","date":"2024-04-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Adamdad/hash3D","path":"dreamgaussian-hash3d/sh_utils.py","file_url":"https://github.com/Adamdad/hash3D/blob/HEAD/dreamgaussian-hash3d/sh_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"d3d0dc69477aa06b","mcp_get_code":{"code_sha256":"d3d0dc69477aa06b"}},{"arxiv_id":"2404.03736","paper":"/paper/sc4d-sparse-controlled-video-to-4d-generation","title":"SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer","date":"2024-04-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jarrentwu1031/sc4d","path":"sh_utils.py","file_url":"https://github.com/jarrentwu1031/sc4d/blob/HEAD/sh_utils.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":"d3d0dc69477aa06b","mcp_get_code":{"code_sha256":"d3d0dc69477aa06b"}},{"arxiv_id":"2403.16095","paper":"/paper/cg-slam-efficient-dense-rgb-d-slam-in-a","title":"CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field","date":"2024-03-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hjr37/CG-SLAM","path":"gaussian_utils/sh_utils.py","file_url":"https://github.com/hjr37/CG-SLAM/blob/HEAD/gaussian_utils/sh_utils.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":"d3d0dc69477aa06b","mcp_get_code":{"code_sha256":"d3d0dc69477aa06b"}},{"arxiv_id":"2402.04648","paper":"/paper/ov-nerf-open-vocabulary-neural-radiance","title":"OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding","date":"2024-02-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"pcl3dv/ov-nerf","path":"models/sh.py","file_url":"https://github.com/pcl3dv/ov-nerf/blob/HEAD/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2312.10034","paper":"/paper/slimmerf-slimmable-radiance-fields","title":"SlimmeRF: Slimmable Radiance Fields","date":"2023-12-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shiran-yuan/slimmerf","path":"models/sh.py","file_url":"https://github.com/shiran-yuan/slimmerf/blob/HEAD/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2312.09527","paper":"/paper/tiface-improving-facial-reconstruction","title":"TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces","date":"2023-12-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ruijiezhu94/ti-face","path":"T-Face/models/sh.py","file_url":"https://github.com/ruijiezhu94/ti-face/blob/HEAD/T-Face/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2312.03203","paper":"/paper/feature-3dgs-supercharging-3d-gaussian","title":"Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields","date":"2023-12-06","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"keloee/maskfield","path":"models/sh.py","file_url":"https://github.com/keloee/maskfield/blob/HEAD/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2311.14521","paper":"/paper/gaussianeditor-swift-and-controllable-3d","title":"GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting","date":"2023-11-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"buaacyw/gaussianeditor","path":"convert.py","file_url":"https://github.com/buaacyw/gaussianeditor/blob/HEAD/convert.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"7cafa33c7aed0a09","mcp_get_code":{"code_sha256":"7cafa33c7aed0a09"}},{"arxiv_id":"2310.20710","paper":"/paper/fpo-efficient-encoding-and-rendering-of","title":"FPO++: Efficient Encoding and Rendering of Dynamic Neural Radiance Fields by Analyzing and Enhancing Fourier PlenOctrees","date":"2023-10-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"saskiarabich/fpoplusplus","path":"svox/svox/sh.py","file_url":"https://github.com/saskiarabich/fpoplusplus/blob/HEAD/svox/svox/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"96fc2eb195337d08","mcp_get_code":{"code_sha256":"96fc2eb195337d08"}},{"arxiv_id":"2310.01821","paper":"/paper/mimo-nerf-fast-neural-rendering-with-multi-1","title":"MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields","date":"2023-10-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"apchenstu/TensoRF","path":"models/sh.py","file_url":"https://github.com/apchenstu/TensoRF/blob/HEAD/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2310.12987","paper":"/paper/spec-nerf-multi-spectral-neural-radiance","title":"Spec-NeRF: Multi-spectral Neural Radiance Fields","date":"2023-09-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"cpregroup/specnerf-v2","path":"models/sh.py","file_url":"https://github.com/cpregroup/specnerf-v2/blob/HEAD/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2307.13226","paper":"/paper/strivec-sparse-tri-vector-radiance-fields","title":"Strivec: Sparse Tri-Vector Radiance Fields","date":"2023-07-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Zerg-Overmind/Strivec","path":"models/sh.py","file_url":"https://github.com/Zerg-Overmind/Strivec/blob/HEAD/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2305.14093","paper":"/paper/weakly-supervised-3d-open-vocabulary-1","title":"Weakly Supervised 3D Open-vocabulary Segmentation","date":"2023-05-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Kunhao-Liu/3D-OVS","path":"models/sh.py","file_url":"https://github.com/Kunhao-Liu/3D-OVS/blob/HEAD/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2305.11588","paper":"/paper/text2nerf-text-driven-3d-scene-generation","title":"Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields","date":"2023-05-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"eckertzhang/text2nerf","path":"models/sh.py","file_url":"https://github.com/eckertzhang/text2nerf/blob/HEAD/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2304.12461","paper":"/paper/tensoir-tensorial-inverse-rendering","title":"TensoIR: Tensorial Inverse Rendering","date":"2023-04-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Haian-Jin/TensoIR","path":"models/sh.py","file_url":"https://github.com/Haian-Jin/TensoIR/blob/HEAD/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2303.03808","paper":"/paper/multiscale-tensor-decomposition-and-rendering","title":"Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis","date":"2023-03-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"imkanghan/nrff","path":"models/sh.py","file_url":"https://github.com/imkanghan/nrff/blob/HEAD/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2302.01226","paper":"/paper/factor-fields-a-unified-framework-for-neural","title":"Factor Fields: A Unified Framework for Neural Fields and Beyond","date":"2023-02-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"autonomousvision/factor-fields","path":"models/sh.py","file_url":"https://github.com/autonomousvision/factor-fields/blob/HEAD/models/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"2301.09632","paper":"/paper/hexplane-a-fast-representation-for-dynamic","title":"HexPlane: A Fast Representation for Dynamic Scenes","date":"2023-01-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"Caoang327/HexPlane","path":"hexplane/model/sh.py","file_url":"https://github.com/Caoang327/HexPlane/blob/HEAD/hexplane/model/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}},{"arxiv_id":"aaai_27859","paper":null,"title":"arXiv:aaai_27859","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"Nemo1999/Joint-TensoRF","path":"model/tensorf_repr/sh.py","file_url":"https://github.com/Nemo1999/Joint-TensoRF/blob/HEAD/model/tensorf_repr/sh.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"db95ecdf5d4abe6b","mcp_get_code":{"code_sha256":"db95ecdf5d4abe6b"}}]}