https://github.com/Aavache/CAESynth
공식 코드CAESynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders
Papers with Code 아카이브
Mixed Reality
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/BatFaceWayne/POV_Surgery
공식 코드POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
https://github.com/I2-Multimedia-Lab/IPDAE
공식 코드IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression
https://github.com/LZleejean/TexIR_code
공식 코드Multi-view Inverse Rendering for Large-scale Real-world Indoor Scenes
https://github.com/SEAlab-unige/acanet
공식 코드Affordance segmentation of hand-occluded containers from exocentric images
https://github.com/TathagataChakraborti/survey-visualizer
공식 코드https://github.com/ais-lab/feat2map
공식 코드Fast and Lightweight Scene Regressor for Camera Relocalization
https://github.com/alexduarte23/sred
공식 코드SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors
https://github.com/bingogome/samm
공식 코드https://github.com/boelukas/mariner
공식 코드MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References
https://github.com/colmap/glomap
공식 코드https://github.com/cvlab-unibo/mm2d3d
공식 코드https://github.com/dazinovic/neural-rgbd-surface-reconstruction
공식 코드https://github.com/dehezhang2/holo-spot
공식 코드https://github.com/dubiouscactus/meta-learning-hope
공식 코드https://github.com/eth-siplab/avatarposer
공식 코드AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing
https://github.com/hongyangdu/semsharing
공식 코드AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing
https://github.com/hughw19/NOCS_CVPR2019
공식 코드Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/jaiprakash1824/path_vis
공식 코드Beyond the Monitor: Mixed Reality Visualization and AI for Enhanced Digital Pathology Workflow
https://github.com/jianningli/medshapenet-feedback
공식 코드MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
https://github.com/likojack/bnv_fusion
공식 코드BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion
https://github.com/liren2515/dmap
공식 코드Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates
https://github.com/mameratrujillo/Efficient_Scene_Compression
공식 코드https://github.com/maswang32/hearinganythinganywhere
공식 코드https://github.com/mauriceqch/pcc_geo_cnn
공식 코드Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression
https://github.com/mauriceqch/pcc_geo_cnn_v2
공식 코드https://github.com/microsoft/HoloLens2ForCV
공식 코드HoloLens 2 Research Mode as a Tool for Computer Vision Research
https://github.com/microsoft/arr-grasp-type-recognition
공식 코드Text-driven object affordance for guiding grasp-type recognition in multimodal robot teaching
https://github.com/mihaidusmanu/cross-descriptor-vis-loc-map
공식 코드https://github.com/mwod/autoimplant_2021
공식 코드Deep Learning-based Framework for Automatic Cranial Defect Reconstruction and Implant Modeling
https://github.com/pmclSF/DeepCompress
공식 코드https://github.com/prakashSidd18/blind_augmentation
공식 코드https://github.com/quercushernandez/ThermodynamicsGNN
공식 코드Thermodynamics-informed neural networks for physically realistic mixed reality
https://github.com/sjtu-visys/textslam
공식 코드https://github.com/spatial-privacy/3d-spatial-privacy
공식 코드Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality
https://github.com/tfy14esa/senfunet
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.