https://github.com/AhmadArrabi/GPG2A
공식 코드Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance
Papers with Code 아카이브
BEV Segmentation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SehwanChoi0307/Mask2Map
공식 코드Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks
https://github.com/Tom-E-Durham/Dur360BEV
공식 코드https://github.com/Tom-E-Durham/icra2025-dur360bev
공식 코드https://github.com/ZhouZijie77/SegLocNet
공식 코드SegLocNet: Multimodal Localization Network for Autonomous Driving via Bird's-Eye-View Segmentation
https://github.com/abhi1kumar/seabird
공식 코드SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
https://github.com/derrickxunu/cobevt
공식 코드CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
https://github.com/fudan-zvg/ego3rt
공식 코드https://github.com/goodarzmehr/simbev
공식 코드SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset
https://github.com/happytianhao/tade
공식 코드Improving Bird's Eye View Semantic Segmentation by Task Decomposition
https://github.com/hustvl/mim4d
공식 코드MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning
https://github.com/manueldiaz96/beval
공식 코드BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving
https://github.com/megvii-research/petr
공식 코드PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
https://github.com/mjseong0414/CRT-Fusion
공식 코드CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection
https://github.com/valeoai/Occfeat
공식 코드OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
https://github.com/valeoai/pointbev
공식 코드https://github.com/yangzhaojason/DualDiff
공식 코드DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance
https://github.com/cure-lab/magicdrive
MagicDrive: Street View Generation with Diverse 3D Geometry Control
https://github.com/refkxh/DUSA
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
https://gitlab.com/vail-uvm/gpg2a
Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.