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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sincostanx/lusd
공식 코드LUSD: Localized Update Score Distillation for Text-Guided Image Editing
https://github.com/singnet/image-matching
공식 코드GoodPoint: unsupervised learning of keypoint detection and description
https://github.com/sinmdm/sinmdm
공식 코드https://github.com/sinzlab/cgnf
공식 코드Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions
https://github.com/sinzlab/platypose
공식 코드Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation
https://github.com/sipg-isr/Occlusion_HPE
공식 코드2D Image head pose estimation via latent space regression under occlusion settings
https://github.com/siqi0905/gardiff
공식 코드Improving Virtual Try-On with Garment-focused Diffusion Models
https://github.com/siqueira-hc/corrnet
공식 코드https://github.com/sirui-xu/stars
공식 코드Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors
https://github.com/sixiaozheng/contextualstory
공식 코드ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context
https://github.com/siyuhuang/quantart
공식 코드QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity
https://github.com/sizhelee/diff-bgm
공식 코드Diff-BGM: A Diffusion Model for Video Background Music Generation
https://github.com/sjingjia/planerectr
공식 코드PlaneRecTR++: Unified Query Learning for Joint 3D Planar Reconstruction and Pose Estimation
https://github.com/sjtu-lucy/emoface
공식 코드https://github.com/sjtuplayer/compositional_neural_painter
공식 코드Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region
https://github.com/sjtuxcx/ITES
공식 코드Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
https://github.com/sjtuytc/betapose
공식 코드Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/skoltech-nlp/detox
공식 코드https://github.com/skoltech-nlp/formality
공식 코드Detecting Text Formality: A Study of Text Classification Approaches
https://github.com/skoltech-nlp/multilingual_detox
공식 코드Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models
https://github.com/skoltech-nlp/rudetoxifier
공식 코드Methods for Detoxification of Texts for the Russian Language
https://github.com/skoltech-nlp/sgdd-tst
공식 코드Studying the role of named entities for content preservation in text style transfer
https://github.com/skyworkai/skyreels-a2
공식 코드SkyReels-A2: Compose Anything in Video Diffusion Transformers
https://github.com/slark-prime/maai_optimizer
공식 코드https://github.com/sled-group/InfEdit
공식 코드https://github.com/slslslrhfem/song_structure_graph
공식 코드Combinatorial music generation model with song structure graph analysis
https://github.com/smatsumori/lattegan
공식 코드LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation
https://github.com/smile365317/abp
공식 코드Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image Generation
https://github.com/smileslab/comparative-analysis-voice-spoofing
공식 코드https://github.com/smlc-nysbc/target-vae
공식 코드Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
https://github.com/smoothken/knn-svc
공식 코드https://github.com/smplbody/hmr-benchmarks
공식 코드Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
https://github.com/snap-research/stable-flow
공식 코드https://github.com/snldmt/SPARS3R
공식 코드SPARS3R: Semantic Prior Alignment and Regularization for Sparse 3D Reconstruction
https://github.com/snt-arg/ecg2o
공식 코드ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph Optimization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.