https://github.com/tianxingxia-cn/LIIF-Paddle
Learning Continuous Image Representation with Local Implicit Image Function
Papers with Code 아카이브
3D Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/touristCheng/UCSNet
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
https://github.com/trailab/generalobjectmapping
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors
https://github.com/ttaa9/genren
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
https://github.com/tum-vision/povar
https://github.com/twyunting/Deepfake_Video_Classifier
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/tzodge/PCR-CMU
PCRNet: Point Cloud Registration Network using PointNet Encoding
https://github.com/ucla-vision/xivo
https://github.com/umich-curly/3dmapping
https://github.com/v-iashin/SpecVQGAN
https://github.com/vast-ai-research/triplanegaussian
https://github.com/vevenom/pytorchgeonodes
PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction
https://github.com/victorprad/InfiniTAM
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure
https://github.com/visinf/cad
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
https://github.com/vita-group/ins
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
https://github.com/vlmaps/vlmaps
https://github.com/vsitzmann/deepvoxels
https://github.com/wMito/HuSc3D
HuSc3D: Human Sculpture dataset for 3D object reconstruction
https://github.com/wangjk666/PyDeepFakeDet
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
https://github.com/whatseven/UrbanScene3D
Capturing, Reconstructing, and Simulating: the UrbanScene3D Dataset
https://github.com/wkq-wukaiqi/Face-X-Ray
https://github.com/wolny/pytorch-3dunet
https://github.com/xacheng1996/vfd
https://github.com/xiaoiker/meta_dpm
https://github.com/xiaoqianruan1/partonomic_reconstruction
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
https://github.com/xingyuansun/pix3d
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
https://github.com/xiuyu0000/new_papers_codes/tree/main/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/xy-guo/MVSNet_pytorch
https://github.com/yangyucheng000/NeuralRecon
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
https://github.com/yangyucheng000/University/tree/main/model-3/sew_d
Towards Garment Sewing Pattern Reconstruction from a Single Image
https://github.com/yashbhalgat/HashNeRF-pytorch
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/yifliu3/EndoGaussian
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
https://github.com/yinglinzheng/FTCN
Exploring Temporal Coherence for More General Video Face Forgery Detection
https://github.com/yyk-wew/F3Net
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/yzyouzhang/AIR-ASVspoof
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
https://github.com/zdwww/Wheat-3DGS
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.