https://github.com/fraunhoferhhi/spvloc
공식 코드SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models
SRPose: Two-view Relative Pose Estimation with Sparse Keypoints
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
Efficient4D: Fast Dynamic 3D Object Generation from a Single-view Video
Harnessing Diffusion Models for Visual Perception with Meta Prompts
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing
StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
Deep Learning Based Assessment of Synthetic Speech Naturalness
Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans
Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised Units
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework
LooPy: A Research-Friendly Mix Framework for Music Information Retrieval on Electronic Dance Music
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
Semantic Graph Convolutional Networks for 3D Human Pose Regression
Scale-Free Image Keypoints Using Differentiable Persistent Homology
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.