{"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/fov-to-intrinsics","entry":"FOV_to_intrinsics","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":5,"n_papers_ran":5,"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":1,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":3,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"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":"2406.02968","paper":"/paper/adversarial-generation-of-hierarchical","title":"GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats","date":"2024-06-05","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"hse1032/Adversarial-Generation-of-Hierarchical-Gaussians-for-3D-Generative-Model","path":"camera_utils.py","file_url":"https://github.com/hse1032/Adversarial-Generation-of-Hierarchical-Gaussians-for-3D-Generative-Model/blob/HEAD/camera_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"eef98780cbfa6ee7","mcp_get_code":{"code_sha256":"eef98780cbfa6ee7"}},{"arxiv_id":"2405.09879","paper":"/paper/generative-unlearning-for-any-identity","title":"Generative Unlearning for Any Identity","date":"2024-05-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"KHU-AGI/GUIDE","path":"camera_utils.py","file_url":"https://github.com/KHU-AGI/GUIDE/blob/HEAD/camera_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"eef98780cbfa6ee7","mcp_get_code":{"code_sha256":"eef98780cbfa6ee7"}},{"arxiv_id":"2311.17857","paper":"/paper/gaussian-shell-maps-for-efficient-3d-human","title":"Gaussian Shell Maps for Efficient 3D Human Generation","date":"2023-11-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"computational-imaging/GSM","path":"main/gsm/camera_utils.py","file_url":"https://github.com/computational-imaging/GSM/blob/HEAD/main/gsm/camera_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"eef98780cbfa6ee7","mcp_get_code":{"code_sha256":"eef98780cbfa6ee7"}},{"arxiv_id":"2311.08403","paper":"/paper/instant3d-instant-text-to-3d-generation","title":"Instant3D: Instant Text-to-3D Generation","date":"2023-11-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ming1993li/instant3dcodes","path":"camera_utils.py","file_url":"https://github.com/ming1993li/instant3dcodes/blob/HEAD/camera_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"eef98780cbfa6ee7","mcp_get_code":{"code_sha256":"eef98780cbfa6ee7"}},{"arxiv_id":"2304.10263","paper":"/paper/preim3d-3d-consistent-precise-image-attribute","title":"PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image","date":"2023-04-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mybabyyh/Preim3D","path":"camera_utils.py","file_url":"https://github.com/mybabyyh/Preim3D/blob/HEAD/camera_utils.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"eef98780cbfa6ee7","mcp_get_code":{"code_sha256":"eef98780cbfa6ee7"}}]}