https://github.com/ActiveVisionLab/LaLaLoc
공식 코드LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments
Papers with Code 아카이브
Camera Localization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 2
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- 2
- 보존된 평가 기록
- 8
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ActiveVisionLab/direct-posenet
공식 코드Direct-PoseNet: Absolute Pose Regression with Photometric Consistency
https://github.com/BingCS/AtLoc
공식 코드https://github.com/Jeff-Zilence/VIGOR
공식 코드VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
https://github.com/LiliMeng/btrf
공식 코드Backtracking Regression Forests for Accurate Camera Relocalization
https://github.com/Mingpan/generative_map
공식 코드https://github.com/NVlabs/geomapnet
공식 코드https://github.com/Skyy93/Sample4Geo
공식 코드Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
https://github.com/Tangshitao/Dense-Scene-Matching
공식 코드https://github.com/The-Learning-And-Vision-Atelier-LAVA/PoSFeat
공식 코드https://github.com/WaldJohannaU/RIO10
공식 코드Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes
https://github.com/aaltovision/cl_hscnet
공식 코드https://github.com/aaltovision/dpqed
공식 코드Differentiable Product Quantization for Memory Efficient Camera Relocalization
https://github.com/activevisionlab/dfnet
공식 코드DFNet: Enhance Absolute Pose Regression with Direct Feature Matching
https://github.com/ais-lab/d2s
공식 코드D2S: Representing sparse descriptors and 3D coordinates for camera relocalization
https://github.com/ais-lab/feat2map
공식 코드Fast and Lightweight Scene Regressor for Camera Relocalization
https://github.com/ais-lab/pl2map
공식 코드Representing 3D sparse map points and lines for camera relocalization
https://github.com/atticuszeller/gsplatloc
공식 코드GSplatLoc: Ultra-Precise Camera Localization via 3D Gaussian Splatting
https://github.com/cattaneod/CMRNet
공식 코드https://github.com/cav-research-lab/geovlm
공식 코드GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language Matching
https://github.com/chengricky/PAL
공식 코드https://github.com/cvg/pixloc
공식 코드Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
https://github.com/cvlab-dresden/DSAC
공식 코드https://github.com/danielcoelho112/synfeal
공식 코드Synfeal: A Data-Driven Simulator for End-to-End Camera Localization
https://github.com/deepmind/streetlearn
공식 코드https://github.com/fraunhoferhhi/spvloc
공식 코드SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
https://github.com/gaoshuang98/cvcities
공식 코드CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
https://github.com/hannahhaensen/dynamon
공식 코드DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields
https://github.com/hnrna/shadowfreenerf-camerareloc
공식 코드https://github.com/instance-based-loc/instance-based-loc
공식 코드Towards Global Localization using Multi-Modal Object-Instance Re-Identification
https://github.com/kaichen-z/vmloc
공식 코드VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
https://github.com/lck666666/hr-apr
공식 코드https://github.com/leomingyangli/semanticslam
공식 코드SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization
https://github.com/levenberg/2D-3D-pose-tracking
공식 코드Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences
https://github.com/microsoft/scenelandmarklocalization
공식 코드https://github.com/mihaidusmanu/local-feature-refinement
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.