{"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/gps-gaussian-generalizable-pixel-wise-3d","title":"GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis","arxiv_id":"2312.02155","date":"2023-12-04","proceeding":"CVPR 2024 1","authors":["Shunyuan Zheng","Boyao Zhou","Ruizhi Shao","Boning Liu","Shengping Zhang","Liqiang Nie","Yebin Liu"],"abstract":"We present a new approach, termed GPS-Gaussian, for synthesizing novel views of a character in a real-time manner. The proposed method enables 2K-resolution rendering under a sparse-view camera setting. Unlike the original Gaussian Splatting or neural implicit rendering methods that necessitate per-subject optimizations, we introduce Gaussian parameter maps defined on the source views and regress directly Gaussian Splatting properties for instant novel view synthesis without any fine-tuning or optimization. To this end, we train our Gaussian parameter regression module on a large amount of human scan data, jointly with a depth estimation module to lift 2D parameter maps to 3D space. The proposed framework is fully differentiable and experiments on several datasets demonstrate that our method outperforms state-of-the-art methods while achieving an exceeding rendering speed.","url_abs":"https://arxiv.org/abs/2312.02155v3","url_pdf":"https://arxiv.org/pdf/2312.02155v3.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":"gps-gaussian-generalizable-pixel-wise-3d","repo_url":"https://github.com/aipixel/gps-gaussian","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"2k","task_name":"2k"},{"task_slug":"depth-estimation","task_name":"Depth Estimation"},{"task_slug":"novel-view-synthesis","task_name":"Novel View Synthesis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2312.02155","atlas_url":"https://app.syntology.ai/?focus=2312.02155","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.02155"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+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":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/aipixel/gps-gaussian","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"ran":6,"ran_honours":1,"ran_fixture":2,"unverified":3},"by_repo_kind":{"official":{"samples":12,"ran":9,"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":0,"samples":[{"code_sha256_prefix":"89a6bb37979b20b7","entry":"depth2pts","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"lib/human_loader.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/lib/human_loader.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"89a6bb37979b20b7"}},{"code_sha256_prefix":"b0c6d75bb1487c71","entry":"focal2fov","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"lib/graphics_utils.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/lib/graphics_utils.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b0c6d75bb1487c71"}},{"code_sha256_prefix":"c56b7ef16f309a45","entry":"gaussian","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"lib/loss.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/lib/loss.py","link_basis":"harvester_set","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c56b7ef16f309a45"}},{"code_sha256_prefix":"616ba1e1fd6951b2","entry":"getProjectionMatrix","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"lib/graphics_utils.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/lib/graphics_utils.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"616ba1e1fd6951b2"}},{"code_sha256_prefix":"08bedbc0c0447f5d","entry":"interp","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"core/update.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/core/update.py","link_basis":"harvester_set","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"08bedbc0c0447f5d"}},{"code_sha256_prefix":"ac0e42d6fbcfbbe6","entry":"l1_loss","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"lib/loss.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/lib/loss.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"ac0e42d6fbcfbbe6"}},{"code_sha256_prefix":"619f4d544faea289","entry":"load_json_to_np","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"lib/human_loader.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/lib/human_loader.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"619f4d544faea289"}},{"code_sha256_prefix":"25894ad2a73a8142","entry":"pool2x","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"core/update.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/core/update.py","link_basis":"harvester_set","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"25894ad2a73a8142"}},{"code_sha256_prefix":"ce5add3cb50f97f9","entry":"pts2depth","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"lib/human_loader.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/lib/human_loader.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"ce5add3cb50f97f9"}},{"code_sha256_prefix":"6c394c1d0cb69da4","entry":"getWorld2View2","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"lib/graphics_utils.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/lib/graphics_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"6c394c1d0cb69da4"}},{"code_sha256_prefix":"771e8ac695af28a9","entry":"pool4x","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"core/update.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/core/update.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"771e8ac695af28a9"}},{"code_sha256_prefix":"520a398e387edf23","entry":"sequence_loss","repo":"aipixel/gps-gaussian","repo_kind":"official","path":"lib/loss.py","file_url":"https://github.com/aipixel/gps-gaussian/blob/HEAD/lib/loss.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"520a398e387edf23"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}