https://github.com/wscstrive/ct-mvsnet
공식 코드CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer
Papers with Code 아카이브
Depth Estimation
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- 보존된 평가 기록
- 58
Depth Estimation is the task of measuring the distance of each pixel relative to the camera. Depth is extracted from either monocular (single) or stereo (multiple views of a scene) images. Traditional methods use multi-view geometry to find the relationship between the images. Newer methods can directly estimate depth by minimizing the regression loss, or by learning to generate a novel view from a sequence. The most popular benchmarks are KITTI and NYUv2. Models are typically evaluated according to a RMS metric.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wvangansbeke/Sparse-Depth-Completion
공식 코드Sparse and noisy LiDAR completion with RGB guidance and uncertainty
https://github.com/wyddmw/pomato
공식 코드POMATO: Marrying Pointmap Matching with Temporal Motion for Dynamic 3D Reconstruction
https://github.com/xapaxca/nimbled
공식 코드https://github.com/xeTaiz/MonocularDepthDecomposition
공식 코드Monocular Depth Decomposition of Semi-Transparent Volume Renderings
https://github.com/xianhua-he/cvpr2024-face-anti-spoofing-challenge
공식 코드Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues
https://github.com/xiaohao-xu/ambiguity-in-space
공식 코드Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity
https://github.com/xiaohong-huang/FLOW-VIO
공식 코드Edge-Enabled VIO with Long-Tracked Features for High-Accuracy Low-Altitude IoT Navigation
https://github.com/xiaolongqian/dcdi
공식 코드Towards Single-Lens Controllable Depth-of-Field Imaging via Depth-Aware Point Spread Functions
https://github.com/xiaoqi-zhao-dlut/mmft
공식 코드Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction
https://github.com/xiaoqi-zhao-dlut/multi-source-aps-zvos
공식 코드Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
https://github.com/xieyuser/semi-sd
공식 코드Semi-SD: Semi-Supervised Metric Depth Estimation via Surrounding Cameras for Autonomous Driving
https://github.com/xingy038/ds-depth
공식 코드DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
https://github.com/xingyuuchen/freq-aware-depth
공식 코드https://github.com/xingyuuchen/tri-depth
공식 코드Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
https://github.com/xinshuoweng/mono3D_PLiDAR
공식 코드https://github.com/xix-ai/antispoofing
공식 코드Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning
https://github.com/xjixzz/mism
공식 코드Exploring the Mutual Influence between Self-Supervised Single-Frame and Multi-Frame Depth Estimation
https://github.com/xjixzz/vadepth-net
공식 코드https://github.com/xjixzz/van_depth
공식 코드https://github.com/xjqi/GeoNet
공식 코드https://github.com/xtu-pr-lab/sfmnerf
공식 코드Improving Neural Radiance Fields with Depth-aware Optimization for Novel View Synthesis
https://github.com/xuboshen/egodtm
공식 코드EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining
https://github.com/xuechaochen/p3p-mae
공식 코드P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked Autoencoders
https://github.com/xxlong0/ASNDepth
공식 코드https://github.com/xxlong0/CNMNet
공식 코드Occlusion-Aware Depth Estimation with Adaptive Normal Constraints
https://github.com/xxlong0/ESTDepth
공식 코드Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks
https://github.com/y2w-oc/robust-photon-efficient-imaging-using-prsnet
공식 코드Robust photon-efficient imaging using a pixel-wise residual shrinkage network
https://github.com/yan99033/CNN-SVO
공식 코드CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction
https://github.com/yangtiming/imov3d
공식 코드ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D Images
https://github.com/yanzq95/ldcnet
공식 코드Learnable Differencing Center for Nighttime Depth Perception
https://github.com/yanzq95/sgnet
공식 코드SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution
https://github.com/yaochengtang/3d-visual-illusion-depth-estimation
공식 코드https://github.com/yaojieliu/CVPR2019-DeepTreeLearningForZeroShotFaceAntispoofing
공식 코드https://github.com/yaojieliu/ECCV20-STDN
공식 코드https://github.com/yaojieliu/ECCV2018-FaceDeSpoofing
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.