https://github.com/rangamanilabucsd/smart
공식 코드SMART: Spatial Modeling Algorithms for Reaction and Transport
Papers with Code 아카이브
3D Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 7
- 평가표
- 10
- 보존된 평가 기록
- 44
3D Reconstruction is the task of creating a 3D model or representation of an object or scene from 2D images or other data sources. The goal of 3D reconstruction is to create a virtual representation of an object or scene that can be used for a variety of purposes, such as visualization, animation, simulation, and analysis. It can be used in fields such as computer vision, robotics, and virtual reality.
Image: Gwak et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/rapsar/firefl-eye-net
공식 코드Tracking and triangulating firefly flashes in field recordings
https://github.com/raymondwang987/nvds
공식 코드NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation
https://github.com/razla/xai-based-detection-of-adversarial-attacks-on-deepfake-detectors
공식 코드XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
https://github.com/rebecca0011/uavstereo
공식 코드UAVStereo: A Multiple Resolution Dataset for Stereo Matching in UAV Scenarios
https://github.com/recluzegeek/AWARE-NET
공식 코드AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection
https://github.com/rehg-lab/3dshapegen
공식 코드https://github.com/renato145/3D-ORGAN
공식 코드3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
https://github.com/rfalque/semantic_keypoints_extraction
공식 코드Semantic keypoint extraction for scanned animals using multi-depth-camera systems
https://github.com/rgb91/temporal-deepfake-segmentation
공식 코드https://github.com/rhtm02/PU-MFA
공식 코드PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention
https://github.com/richard-guyunqi/BlenderGym-Open
공식 코드BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing
https://github.com/rizavelioglu/tryoffdiff
공식 코드TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models
https://github.com/rmushfiqur2/deepfake_op_rel
공식 코드Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
https://github.com/ro-ya-cv4africa/acvsurvey
공식 코드https://github.com/roblabwh/patchmatch
공식 코드PatchMatch-Stereo-Panorama, a fast dense reconstruction from 360° video images
https://github.com/robotic-vision-lab/implicit-point-voxel-features-network
공식 코드IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D Reconstruction
https://github.com/robotic-vision-lab/learning-implicitly-from-spatial-transformers-network
공식 코드LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction
https://github.com/rongxuantan/mp-mvs
공식 코드MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo
https://github.com/rozumden/motionfromblur
공식 코드Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos
https://github.com/rshaojimmy/deepfake-adapter
공식 코드https://github.com/rshaojimmy/multimodal-deepfake
공식 코드https://github.com/rshaojimmy/seqdeepfake
공식 코드https://github.com/rub-syssec/wavefake
공식 코드https://github.com/ruirangerfan/road_surface_3d_reconstruction_datasets
공식 코드Road surface 3d reconstruction based on dense subpixel disparity map estimation
https://github.com/ryuryukke/OUTFOX
공식 코드https://github.com/s2kamyab/deepmds
공식 코드Deep-MDS Framework for Recovering the 3D Shape of 2D Landmarks from a Single Image
https://github.com/s3anwu/pbrnerf
공식 코드PBR-NeRF: Inverse Rendering with Physics-Based Neural Fields
https://github.com/saedrna/Ranger
공식 코드https://github.com/saedrna/RenderMatch
공식 코드https://github.com/sahasubhajit/Speech-Spoofing-
공식 코드https://github.com/saidwivedi/InteractVLM
공식 코드InteractVLM: 3D Interaction Reasoning from 2D Foundational Models
https://github.com/sail-sg/numcc
공식 코드NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
https://github.com/sail-sg/sewformer
공식 코드Towards Garment Sewing Pattern Reconstruction from a Single Image
https://github.com/sair-lab/iMatching
공식 코드https://github.com/samaonline/3D-Shape-Reconstruction-from-Free-Hand-Sketches
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.