https://github.com/EdwardSmith1884/3D-IWGAN
공식 코드Improved Adversarial Systems for 3D Object Generation and Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Improved Adversarial Systems for 3D Object Generation and Reconstruction
Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
Where Does It End? -- Reasoning About Hidden Surfaces by Object Intersection Constraints
EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association
Attention Normalization Impacts Cardinality Generalization in Slot Attention
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
Learning to Play General Video-Games via an Object Embedding Network
Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle Perception
Contour Proposal Networks for Biomedical Instance Segmentation
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation
Visual Mesh: Real-time Object Detection Using Constant Sample Density
Object Hider: Adversarial Patch Attack Against Object Detectors
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields
General Object Foundation Model for Images and Videos at Scale
BORM: Bayesian Object Relation Model for Indoor Scene Recognition
Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT
Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning
GraphFPN: Graph Feature Pyramid Network for Object Detection
GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
6D Object Pose Regression via Supervised Learning on Point Clouds
Vector-Quantized Vision Foundation Models for Object-Centric Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.