NoPe‐NeRF++: Local‐to‐Global Optimization of NeRF with No Pose Prior
In this paper, we introduce NoPe‐NeRF++, a novel local‐to‐global optimization algorithm for training Neural Radiance Fields (NeRF) without requiring pose priors. Existing methods, particularly NoPe‐NeRF, which focus solely on the local relationships within images, often struggle to recover accurate...
Saved in:
| Published in: | Computer graphics forum Vol. 44; no. 2 |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Oxford
Blackwell Publishing Ltd
01.05.2025
|
| Subjects: | |
| ISSN: | 0167-7055, 1467-8659 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | In this paper, we introduce NoPe‐NeRF++, a novel local‐to‐global optimization algorithm for training Neural Radiance Fields (NeRF) without requiring pose priors. Existing methods, particularly NoPe‐NeRF, which focus solely on the local relationships within images, often struggle to recover accurate camera poses in complex scenarios. To overcome the challenges, our approach begins with a relative pose initialization with explicit feature matching, followed by a local joint optimization to enhance the pose estimation for training a more robust NeRF representation. This method significantly improves the quality of initial poses. Additionally, we introduce global optimization phase that incorporates geometric consistency constraints through bundle adjustment, which integrates feature trajectories to further refine poses and collectively boost the quality of NeRF. Notably, our method is the first work that seamlessly combines the local and global cues with NeRF, and outperforms state‐of‐the‐art methods in both pose estimation accuracy and novel view synthesis. Extensive evaluations on benchmark datasets demonstrate our superior performance and robustness, even in challenging scenes, thus validating our design choices. |
|---|---|
| AbstractList | In this paper, we introduce NoPe‐NeRF++, a novel local‐to‐global optimization algorithm for training Neural Radiance Fields (NeRF) without requiring pose priors. Existing methods, particularly NoPe‐NeRF, which focus solely on the local relationships within images, often struggle to recover accurate camera poses in complex scenarios. To overcome the challenges, our approach begins with a relative pose initialization with explicit feature matching, followed by a local joint optimization to enhance the pose estimation for training a more robust NeRF representation. This method significantly improves the quality of initial poses. Additionally, we introduce global optimization phase that incorporates geometric consistency constraints through bundle adjustment, which integrates feature trajectories to further refine poses and collectively boost the quality of NeRF. Notably, our method is the first work that seamlessly combines the local and global cues with NeRF, and outperforms state‐of‐the‐art methods in both pose estimation accuracy and novel view synthesis. Extensive evaluations on benchmark datasets demonstrate our superior performance and robustness, even in challenging scenes, thus validating our design choices. |
| Author | Fan, Lubin Liu, Ligang Guo, Jinhui Shi, Dongbo Ye, Jieping Cao, Shen Wu, Bojian Chen, Renjie |
| Author_xml | – sequence: 1 givenname: Dongbo orcidid: 0000-0001-6456-3388 surname: Shi fullname: Shi, Dongbo organization: University of Science and Technology of China – sequence: 2 givenname: Shen orcidid: 0009-0003-4019-1657 surname: Cao fullname: Cao, Shen organization: Independent Researcher – sequence: 3 givenname: Bojian orcidid: 0009-0007-1945-8707 surname: Wu fullname: Wu, Bojian organization: Independent Researcher – sequence: 4 givenname: Jinhui orcidid: 0009-0004-1129-1023 surname: Guo fullname: Guo, Jinhui organization: Independent Researcher – sequence: 5 givenname: Lubin orcidid: 0000-0002-9606-947X surname: Fan fullname: Fan, Lubin email: lubinfan@gmail.com organization: Independent Researcher – sequence: 6 givenname: Renjie orcidid: 0000-0001-8395-4392 surname: Chen fullname: Chen, Renjie email: renjiec@ustc.edu.cn organization: University of Science and Technology of China – sequence: 7 givenname: Ligang orcidid: 0000-0003-4352-1431 surname: Liu fullname: Liu, Ligang organization: University of Science and Technology of China – sequence: 8 givenname: Jieping orcidid: 0000-0001-8662-5818 surname: Ye fullname: Ye, Jieping organization: Independent Researcher |
| BookMark | eNp1kN1KwzAUgINMcJte-AYBr2R0O0mapvFOhp3K2IbodUjbVDu6ZqYdY175CD6jT2JmvfVcnB_4zjnwDVCvtrVB6JLAmPiYZK_FWAAQeoL6JIxEEEdc9lAfiO8FcH6GBk2zBoBQRLyPHhd2Zb4_vxbmKRmNbvDcZrryc2t9mlU21RVebttyU37otrQ1tgU-snhftm94YfHKNgavXGndOTotdNWYi786RC_J3fP0PpgvZw_T23mQUZA0yLTRMqecyNiELNTCMB6zSHJqNJUcMs1iysMMaCHSXAJEkqTSgBZFzvKUsiG66u5unX3fmaZVa7tztX-pGGVESCJC6anrjsqcbRpnCrV15Ua7gyKgjqqUV6V-VXl20rH7sjKH_0E1nSXdxg-Ma2wS |
| Cites_doi | 10.1109/CVPR52733.2024.01857 10.1109/CVPR52688.2022.01781 10.1145/258734.258854 10.1145/166117.166153 10.1145/3503250 10.1145/1186822.1073232 10.1109/ICCV48922.2021.00580 10.1109/ICCV48922.2021.01072 10.1109/TIP.2003.819861 10.1145/3550469.3555413 10.1109/CVPR52688.2022.00807 10.1145/237170.237196 10.1145/3478513.3480496 10.1109/ICCV48922.2021.01196 10.1109/IROS51168.2021.9636708 10.1109/ICCV.2009.5459148 10.1109/CVPRW.2018.00060 10.1145/237170.237200 10.1109/TPAMI.2007.1049 10.1109/CVPR52729.2023.00799 10.1109/34.88573 10.1109/CVPR52733.2024.01965 10.1109/CVPR52688.2022.00381 10.1145/3618321 10.1109/CVPR.2018.00068 10.1109/ICCV48922.2021.00569 10.1109/CVPR52688.2022.00536 10.1109/ICRA57147.2024.10611269 10.1109/CVPR42600.2020.00499 |
| ContentType | Journal Article |
| Copyright | 2025 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd. 2025 The Eurographics Association and John Wiley & Sons Ltd. |
| Copyright_xml | – notice: 2025 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd. – notice: 2025 The Eurographics Association and John Wiley & Sons Ltd. |
| DBID | AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D |
| DOI | 10.1111/cgf.70012 |
| DatabaseName | CrossRef Computer and Information Systems Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | CrossRef Computer and Information Systems Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Advanced Technologies Database with Aerospace ProQuest Computer Science Collection Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | CrossRef Computer and Information Systems Abstracts |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1467-8659 |
| EndPage | n/a |
| ExternalDocumentID | 10_1111_cgf_70012 CGF70012 |
| Genre | article |
| GroupedDBID | .3N .4S .DC .GA .Y3 05W 0R~ 10A 15B 1OB 1OC 29F 31~ 33P 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 5GY 5HH 5LA 5VS 66C 6J9 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 8VB 930 A03 AAESR AAEVG AAHQN AAMMB AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABDBF ABDPE ABEML ABPVW ACAHQ ACBWZ ACCZN ACFBH ACGFS ACPOU ACRPL ACSCC ACUHS ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADMLS ADNMO ADOZA ADXAS ADZMN AEFGJ AEGXH AEIGN AEIMD AEMOZ AENEX AEUYR AEYWJ AFBPY AFEBI AFFNX AFFPM AFGKR AFWVQ AFZJQ AGHNM AGQPQ AGXDD AGYGG AHBTC AHEFC AHQJS AIDQK AIDYY AITYG AIURR AJXKR AKVCP ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ARCSS ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BY8 CAG COF CS3 CWDTD D-E D-F DCZOG DPXWK DR2 DRFUL DRSTM DU5 EAD EAP EBA EBO EBR EBS EBU EDO EJD EMK EST ESX F00 F01 F04 F5P FEDTE FZ0 G-S G.N GODZA H.T H.X HF~ HGLYW HVGLF HZI HZ~ I-F IHE IX1 J0M K1G K48 LATKE LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ O66 O9- OIG P2W P2X P4D PALCI PQQKQ Q.N Q11 QB0 QWB R.K RDJ RIWAO RJQFR ROL RX1 SAMSI SUPJJ TH9 TN5 TUS UB1 V8K W8V W99 WBKPD WIH WIK WOHZO WQJ WXSBR WYISQ WZISG XG1 ZL0 ZZTAW ~IA ~IF ~WT AAYXX AIQQE CITATION O8X 7SC 8FD JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-c2092-caea9d25198e434a7e35836952ea2950ca38254c02f7bd900691b9e0a7fd3db23 |
| IEDL.DBID | DRFUL |
| ISSN | 0167-7055 |
| IngestDate | Wed Aug 13 08:38:30 EDT 2025 Sat Nov 29 07:43:28 EST 2025 Mon Jul 21 09:51:54 EDT 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c2092-caea9d25198e434a7e35836952ea2950ca38254c02f7bd900691b9e0a7fd3db23 |
| Notes | † These authors contributed equally to this work. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0001-8395-4392 0009-0007-1945-8707 0000-0001-6456-3388 0009-0004-1129-1023 0000-0001-8662-5818 0000-0002-9606-947X 0000-0003-4352-1431 0009-0003-4019-1657 |
| OpenAccessLink | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/cgf.70012 |
| PQID | 3231791749 |
| PQPubID | 30877 |
| PageCount | 12 |
| ParticipantIDs | proquest_journals_3231791749 crossref_primary_10_1111_cgf_70012 wiley_primary_10_1111_cgf_70012_CGF70012 |
| PublicationCentury | 2000 |
| PublicationDate | May 2025 2025-05-00 20250501 |
| PublicationDateYYYYMMDD | 2025-05-01 |
| PublicationDate_xml | – month: 05 year: 2025 text: May 2025 |
| PublicationDecade | 2020 |
| PublicationPlace | Oxford |
| PublicationPlace_xml | – name: Oxford |
| PublicationTitle | Computer graphics forum |
| PublicationYear | 2025 |
| Publisher | Blackwell Publishing Ltd |
| Publisher_xml | – name: Blackwell Publishing Ltd |
| References | 2023; 42.6 2021; 40.6 2023; 42.4 2023 2022 2021 1991; 13.4 2020 2022; 41.4 2009 1997 2018 1996 2006 2005 2017; 36.4 2016 1993 2024 2007; 29.6 2004; 13.4 e_1_2_8_28_2 e_1_2_8_49_2 e_1_2_8_24_2 e_1_2_8_45_2 e_1_2_8_26_2 e_1_2_8_47_2 e_1_2_8_9_2 e_1_2_8_3_2 Snavely Noah (e_1_2_8_39_2) 2006 e_1_2_8_5_2 e_1_2_8_7_2 e_1_2_8_41_2 e_1_2_8_22_2 e_1_2_8_43_2 Müller Thomas (e_1_2_8_25_2) 2022; 41 Zhang Xiuming (e_1_2_8_53_2) 2021; 40 e_1_2_8_17_2 Knapitsch Arno (e_1_2_8_21_2) 2017; 36 e_1_2_8_38_2 e_1_2_8_19_2 e_1_2_8_13_2 e_1_2_8_34_2 e_1_2_8_15_2 e_1_2_8_36_2 e_1_2_8_30_2 e_1_2_8_55_2 e_1_2_8_11_2 e_1_2_8_32_2 e_1_2_8_51_2 e_1_2_8_27_2 e_1_2_8_29_2 e_1_2_8_23_2 e_1_2_8_46_2 e_1_2_8_48_2 e_1_2_8_2_2 Kerbl Bernhard (e_1_2_8_20_2) 2023; 42 e_1_2_8_4_2 e_1_2_8_6_2 e_1_2_8_8_2 e_1_2_8_42_2 e_1_2_8_44_2 e_1_2_8_40_2 e_1_2_8_16_2 e_1_2_8_18_2 e_1_2_8_12_2 e_1_2_8_35_2 e_1_2_8_14_2 e_1_2_8_37_2 e_1_2_8_31_2 e_1_2_8_54_2 e_1_2_8_10_2 e_1_2_8_33_2 e_1_2_8_52_2 e_1_2_8_31_3 e_1_2_8_50_2 |
| References_xml | – start-page: 279 year: 1993 end-page: 288 – volume: 42.6 year: 2023 article-title: CamP: Camera Preconditioning for Neural Radiance Fields publication-title: ACM Trans. Graph. – start-page: 225 year: 1997 end-page: 232 – start-page: 224 year: 2018 end-page: 236 – start-page: 5721 year: 2021 end-page: 5731 – start-page: 577 year: 2005 end-page: 584 – start-page: 8248 year: 2022 end-page: 8258 – year: 2021 – start-page: 10881 year: 2021 end-page: 10891 – year: 2024 – start-page: 19636 year: 2024 end-page: 19646 – start-page: 6952 year: 2024 end-page: 6958 article-title: Ngel-slam: Neural implicit representation-based global consistent low-latency slam system – start-page: 12179 year: 2021 end-page: 12188 – start-page: 586 year: 2018 end-page: 595 – start-page: 20796 year: 2024 end-page: 20805 – year: 2016 – year: 2018 – start-page: 1 year: 2020 end-page: 3 – start-page: 18353 year: 2022 end-page: 18364 – start-page: 43 year: 1996 end-page: 54 – start-page: 835 year: 2006 end-page: 846 article-title: Photo tourism: Exploring photo collections in 3D – volume: 40.6 start-page: 1 year: 2021 end-page: 18 article-title: NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination publication-title: ACM Transactions on Graphics – volume: 36.4 year: 2017 article-title: Tanks and temples: benchmarking large-scale scene reconstruction publication-title: ACM Trans. Graph. – volume: 41.4 start-page: 102:1 year: 2022 end-page: 102:15 article-title: Instant Neural Graphics Primitives with a Multiresolution Hash Encoding publication-title: ACM Trans. Graph. – start-page: 5438 year: 2022 end-page: 5448 – volume: 13.4 start-page: 376 year: 1991 end-page: 380 article-title: Least-squares estimation of transformation parameters between two point patterns publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence – start-page: 72 year: 2009 end-page: 79 – year: 2022 – start-page: 1323 year: 2021 end-page: 1330 – year: 2020 – year: 2023 – start-page: 8264 year: 2023 end-page: 8273 – volume: 29.6 start-page: 1052 year: 2007 end-page: 1067 article-title: MonoSLAM: Real-Time Single Camera SLAM publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence – volume: 42.4 year: 2023 article-title: 3D Gaussian Splatting for RealTime Radiance Field Rendering publication-title: ACM Transactions on Graphics – start-page: 4938 year: 2020 end-page: 4947 – start-page: 3835 year: 2022 end-page: 3844 – start-page: 21 year: 1996 end-page: 30 – volume: 13.4 start-page: 600 year: 2004 end-page: 612 article-title: Image quality assessment: from error visibility to structural similarity publication-title: IEEE Transactions on Image Processing – ident: e_1_2_8_12_2 doi: 10.1109/CVPR52733.2024.01857 – ident: e_1_2_8_49_2 doi: 10.1109/CVPR52688.2022.01781 – start-page: 835 volume-title: SIGGRAPH Conference Proceedings year: 2006 ident: e_1_2_8_39_2 – ident: e_1_2_8_52_2 – ident: e_1_2_8_16_2 doi: 10.1145/258734.258854 – ident: e_1_2_8_19_2 – ident: e_1_2_8_8_2 – ident: e_1_2_8_30_2 – ident: e_1_2_8_9_2 doi: 10.1145/166117.166153 – ident: e_1_2_8_27_2 doi: 10.1145/3503250 – ident: e_1_2_8_17_2 doi: 10.1145/1186822.1073232 – ident: e_1_2_8_34_2 – ident: e_1_2_8_4_2 doi: 10.1109/ICCV48922.2021.00580 – ident: e_1_2_8_18_2 – ident: e_1_2_8_26_2 – ident: e_1_2_8_3_2 – ident: e_1_2_8_35_2 doi: 10.1109/ICCV48922.2021.01072 – ident: e_1_2_8_43_2 doi: 10.1109/TIP.2003.819861 – ident: e_1_2_8_22_2 – ident: e_1_2_8_33_2 – ident: e_1_2_8_50_2 doi: 10.1145/3550469.3555413 – ident: e_1_2_8_40_2 doi: 10.1109/CVPR52688.2022.00807 – ident: e_1_2_8_36_2 doi: 10.1145/237170.237196 – volume: 40 start-page: 1 year: 2021 ident: e_1_2_8_53_2 article-title: NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination publication-title: ACM Transactions on Graphics doi: 10.1145/3478513.3480496 – volume: 42 year: 2023 ident: e_1_2_8_20_2 article-title: 3D Gaussian Splatting for RealTime Radiance Field Rendering publication-title: ACM Transactions on Graphics – ident: e_1_2_8_32_2 doi: 10.1109/ICCV48922.2021.01196 – volume: 41 start-page: 102:1 year: 2022 ident: e_1_2_8_25_2 article-title: Instant Neural Graphics Primitives with a Multiresolution Hash Encoding publication-title: ACM Trans. Graph. – ident: e_1_2_8_55_2 – ident: e_1_2_8_5_2 – ident: e_1_2_8_48_2 doi: 10.1109/IROS51168.2021.9636708 – ident: e_1_2_8_2_2 doi: 10.1109/ICCV.2009.5459148 – ident: e_1_2_8_41_2 – ident: e_1_2_8_38_2 – ident: e_1_2_8_10_2 doi: 10.1109/CVPRW.2018.00060 – ident: e_1_2_8_46_2 – volume: 36 year: 2017 ident: e_1_2_8_21_2 article-title: Tanks and temples: benchmarking large-scale scene reconstruction publication-title: ACM Trans. Graph. – ident: e_1_2_8_54_2 – ident: e_1_2_8_15_2 doi: 10.1145/237170.237200 – ident: e_1_2_8_11_2 doi: 10.1109/TPAMI.2007.1049 – ident: e_1_2_8_29_2 – ident: e_1_2_8_6_2 doi: 10.1109/CVPR52729.2023.00799 – ident: e_1_2_8_23_2 – ident: e_1_2_8_42_2 doi: 10.1109/34.88573 – ident: e_1_2_8_45_2 – ident: e_1_2_8_14_2 doi: 10.1109/CVPR52733.2024.01965 – ident: e_1_2_8_44_2 doi: 10.1109/CVPR52688.2022.00381 – ident: e_1_2_8_31_2 doi: 10.1145/3618321 – ident: e_1_2_8_51_2 doi: 10.1109/CVPR.2018.00068 – ident: e_1_2_8_24_2 doi: 10.1109/ICCV48922.2021.00569 – ident: e_1_2_8_7_2 – ident: e_1_2_8_47_2 doi: 10.1109/CVPR52688.2022.00536 – ident: e_1_2_8_28_2 doi: 10.1109/ICRA57147.2024.10611269 – ident: e_1_2_8_13_2 – ident: e_1_2_8_31_3 – ident: e_1_2_8_37_2 doi: 10.1109/CVPR42600.2020.00499 |
| SSID | ssj0004765 |
| Score | 2.4349473 |
| Snippet | In this paper, we introduce NoPe‐NeRF++, a novel local‐to‐global optimization algorithm for training Neural Radiance Fields (NeRF) without requiring pose... |
| SourceID | proquest crossref wiley |
| SourceType | Aggregation Database Index Database Publisher |
| SubjectTerms | Bundle adjustment CCS Concepts Computing methodologies → Image‐based rendering Global optimization Optimization Pose estimation |
| Title | NoPe‐NeRF++: Local‐to‐Global Optimization of NeRF with No Pose Prior |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fcgf.70012 https://www.proquest.com/docview/3231791749 |
| Volume | 44 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVWIB databaseName: Wiley Online Library Full Collection 2020 customDbUrl: eissn: 1467-8659 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0004765 issn: 0167-7055 databaseCode: DRFUL dateStart: 19970101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3NSsQwEB6WXQ968F9cXSWIB2GptEnbNHqS1Sqy1LK44K2kbSJ7cCvt6tlH8Bl9EpP-7K4HQfBSWkhDGGbmm0ky3wCcmgqiuCQqTaWOPma0HSOmJDGEK6QVKwijZlw2m6BB4D09sbAFl00tTMUPMd9w05ZR-mtt4Dwulow8eZbn-tBU-d8OVnprt6FzPfLHw0VZJHWdhtpbk8bUxEL6Is_8559wtIgxlyPVEmr8jX8tchPW6wgTXVUqsQUtMd2GtSXewR24D7JQfH18BmLk9_sXaKgBTX3PMvWougCgB-VLXuoiTZRJpMcivWuLggyFWSFQmE-yfBfG_s3j4M6omyoYCTYZNhIuOEt1vaonbGJzKojjEZc5WHDMHDPhRCeNiYkljVOmmYytmAmTU5mSNMZkD9rTbCr2AVmWVPElkQ5OqC05Y7GNsekJ7AqKXWp24aSRbfRacWdETc6hBBOVgulCr5F6VJtPEREVdVKVSNqsC2elfH-fIBrc-uXLwd-HHsIq1n18y4uLPWjP8jdxBCvJ-2xS5Me1Hn0DHx7JOg |
| linkProvider | Wiley-Blackwell |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1NS8MwGH4Zm6Ae_BanU4N4EEalTZqmES8yrVNnHWOD3UrbJbKDq3TTsz_B3-gvMenabR4EwUtpIS3l4f1O3ucFODWViwolUWkqo3qb0aZGxEhsCEdIK1IujJlRNmyC-b7b7_N2CS6LXpgpP8Ss4KY1I7PXWsF1QXpBy-Nnea53TZUBrthKjGgZKtcdr9ea90Uyhxbc3po1JmcW0id5Zi__9EfzIHMxVM18jbf-v7_cgLU8xkRXU6HYhJIYbcHqAvPgNtz7SVt8fXz6ouPV6xeopV2aep4k6jKdA4CelDV5yds0USKRXot03Rb5CWonY4Ha6TBJd6Dn3XQbTSMfq2DE2OTYiEMR8oHuWHWFTeyQCUJd4nCKRYg5NeOQ6LQxNrFk0YBrLmMr4sIMmRyQQYTJLpRHyUjsAbIsqSJMIimOmS1DziMbY9MV2BEMO8yswkkBbvA6Zc8IiqxDARNkwFShVsAe5Ao0DoiKO5lKJW1ehbMM4N8_EDRuvexm_-9Lj2G52X1sBa07_-EAVrCe6psdY6xBeZK-iUNYit8nw3F6lAvVNzwszSo |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LS8NAEB6KFdGDb7FadREPQokku0k2K16kNb5KDMVCbyGPXenBpqTVsz_B3-gvcTePth4EwUtIYBPCx858M7s73wCc6ZKiQkFkmkottc1oWlpESaxxmwsjkhRG9ShvNkE9zxkMmF-Dq6oWptCHmC24KcvI_bUycD5OxIKVxy_iQu2aSgdcNy1mS7Osd3puvzuvi6S2VWl7K9WYUllIneSZvfyTj-ZB5mKomnONu_G_v9yE9TLGRNfFpNiCGh9tw9qC8uAOPHipz78-Pj3ec1utS9RVlCafp6m8FH0A0JP0Jq9lmSZKBVJjkVq3RV6K_HTCkZ8N02wX-u7Nc_tOK9sqaDHWGdbikIcsURWrDjeJGVJOLIfYzMI8xMzS45CotDHWsaBRwpSWsRExrodUJCSJMNmDpVE64vuADEPICJMIC8fUFCFjkYmx7nBsc4ptqjfgtAI3GBfqGUGVdUhgghyYBjQr2IPSgCYBkXEnlamkyRpwngP8-weC9q2b3xz8fegJrPgdN-jee4-HsIpVU9_8FGMTlqbZGz-C5fh9Opxkx-Wc-gYRMcyl |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=NoPe%E2%80%90NeRF%2B%2B%3A+Local%E2%80%90to%E2%80%90Global+Optimization+of+NeRF+with+No+Pose+Prior&rft.jtitle=Computer+graphics+forum&rft.au=Shi%2C+Dongbo&rft.au=Cao%2C+Shen&rft.au=Wu%2C+Bojian&rft.au=Guo%2C+Jinhui&rft.date=2025-05-01&rft.issn=0167-7055&rft.eissn=1467-8659&rft.volume=44&rft.issue=2&rft_id=info:doi/10.1111%2Fcgf.70012&rft.externalDBID=n%2Fa&rft.externalDocID=10_1111_cgf_70012 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0167-7055&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0167-7055&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0167-7055&client=summon |