{"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/rgb2sh","entry":"RGB2SH","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":17,"n_papers_ran":17,"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":2,"n_samples_ran":2,"n_samples_fingerprinted":2,"n_places":17,"n_places_pointer_only":8,"by_status":{"ran_honours":2,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":0},"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":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"arxiv_id":"2502.19896","paper":"/paper/genpc-zero-shot-point-cloud-completion-via-3d","title":"GenPC: Zero-shot Point Cloud Completion via 3D Generative Priors","date":"2025-02-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"liannuaa/GenPC","path":"utils/dataUtils.py","file_url":"https://github.com/liannuaa/GenPC/blob/HEAD/utils/dataUtils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"arxiv_id":"2411.16816","paper":"/paper/splatad-real-time-lidar-and-camera-rendering","title":"SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving","date":"2024-11-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"georghess/neurad-studio","path":"nerfstudio/models/splatad.py","file_url":"https://github.com/georghess/neurad-studio/blob/HEAD/nerfstudio/models/splatad.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"3d2c1a432b1a3561","mcp_get_code":{"code_sha256":"3d2c1a432b1a3561"}},{"arxiv_id":"2411.06390","paper":"/paper/splatformer-point-transformer-for-robust-3d","title":"SplatFormer: Point Transformer for Robust 3D Gaussian Splatting","date":"2024-11-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ChenYutongTHU/SplatFormer","path":"utils/gs_utils.py","file_url":"https://github.com/ChenYutongTHU/SplatFormer/blob/HEAD/utils/gs_utils.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"arxiv_id":"2409.12954","paper":"/paper/gstex-per-primitive-texturing-of-2d-gaussian","title":"GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling","date":"2024-09-19","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"victor-rong/gstex","path":"nerfstudio/models/gstex.py","file_url":"https://github.com/victor-rong/gstex/blob/HEAD/nerfstudio/models/gstex.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"3d2c1a432b1a3561","mcp_get_code":{"code_sha256":"3d2c1a432b1a3561"}},{"arxiv_id":"2408.13036","paper":"/paper/s4d-streaming-4d-real-world-reconstruction","title":"S4D: Streaming 4D Real-World Reconstruction with Gaussians and 3D Control Points","date":"2024-08-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hebing-sjtu/S4D","path":"utils/format_converter.py","file_url":"https://github.com/hebing-sjtu/S4D/blob/HEAD/utils/format_converter.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"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":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"arxiv_id":"2407.04699","paper":"/paper/lara-efficient-large-baseline-radiance-fields","title":"LaRa: Efficient Large-Baseline Radiance Fields","date":"2024-07-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"autonomousvision/lara","path":"lightning/renderer.py","file_url":"https://github.com/autonomousvision/lara/blob/HEAD/lightning/renderer.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"arxiv_id":"2405.12218","paper":"/paper/fast-generalizable-gaussian-splatting","title":"MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo","date":"2024-05-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"TQTQliu/MVSGaussian","path":"fusion.py","file_url":"https://github.com/TQTQliu/MVSGaussian/blob/HEAD/fusion.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"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_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"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_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"arxiv_id":"2403.19495","paper":"/paper/coherentgs-sparse-novel-view-synthesis-with","title":"CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians","date":"2024-03-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"avinashpaliwal/coherentgs","path":"scene/gaussian_model.py","file_url":"https://github.com/avinashpaliwal/coherentgs/blob/HEAD/scene/gaussian_model.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"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_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"arxiv_id":"2403.11273","paper":"/paper/brightdreamer-generic-3d-gaussian-generative","title":"BrightDreamer: Generic 3D Gaussian Generative Framework for Fast Text-to-3D Synthesis","date":"2024-03-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lutao2021/BrightDreamer","path":"generator/BrightDreamer.py","file_url":"https://github.com/lutao2021/BrightDreamer/blob/HEAD/generator/BrightDreamer.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}},{"arxiv_id":"2403.09637","paper":"/paper/gaussiangrasper-3d-language-gaussian","title":"GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping","date":"2024-03-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mrsecant/gaussiangrasper","path":"nerfstudio/models/gaussian_splatting.py","file_url":"https://github.com/mrsecant/gaussiangrasper/blob/HEAD/nerfstudio/models/gaussian_splatting.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"3d2c1a432b1a3561","mcp_get_code":{"code_sha256":"3d2c1a432b1a3561"}},{"arxiv_id":"2401.01339","paper":"/paper/street-gaussians-for-modeling-dynamic-urban","title":"Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting","date":"2024-01-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lightwheelai/street-gaussians-ns","path":"street_gaussians_ns/sgn_splatfacto.py","file_url":"https://github.com/lightwheelai/street-gaussians-ns/blob/HEAD/street_gaussians_ns/sgn_splatfacto.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"3d2c1a432b1a3561","mcp_get_code":{"code_sha256":"3d2c1a432b1a3561"}},{"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":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"5a8b1e0eb5ec2789","mcp_get_code":{"code_sha256":"5a8b1e0eb5ec2789"}}]}