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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhangchenxu528/FACIAL
공식 코드FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
https://github.com/zhanghang1989/PyTorch-Multi-Style-Transfer
공식 코드https://github.com/zhanghao5201/kdsm
공식 코드Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching
https://github.com/zhangqianhui/SGGAN-tensorflow
공식 코드Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
https://github.com/zhangqianhui/Sparsely-Grouped-GAN
공식 코드Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
https://github.com/zhangyuhong01/HumanMM-code
공식 코드HumanMM: Global Human Motion Recovery from Multi-shot Videos
https://github.com/zhangyux15/4d_association
공식 코드4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
https://github.com/zhangzc21/generalized-one-shot-gan-adaptation
공식 코드Generalized One-shot Domain Adaptation of Generative Adversarial Networks
https://github.com/zhangzc21/petsgan
공식 코드https://github.com/zhanhz/krf
공식 코드PCKRF: Point Cloud Completion and Keypoint Refinement With Fusion Data for 6D Pose Estimation
https://github.com/zhaojw1998/accomontage
공식 코드AccoMontage: Accompaniment Arrangement via Phrase Selection and Style Transfer
https://github.com/zhaojw1998/accomontage-3
공식 코드Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
https://github.com/zhaorui-tan/pdf-gan
공식 코드SSD: Towards Better Text-Image Consistency Metric in Text-to-Image Generation
https://github.com/zhaorw02/FlexiDreamer
공식 코드https://github.com/zhaoxingZ/STVO
공식 코드Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry
https://github.com/zhaoyingpan/prompt_log_analysis
공식 코드https://github.com/zhehengjianglancaster/amvur
공식 코드https://github.com/zhejinghu/upmt
공식 코드https://github.com/zhen-dong/magic-me
공식 코드https://github.com/zhenchenwan/ted-viton
공식 코드TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
https://github.com/zhendong-wang/prompt-diffusion
공식 코드https://github.com/zheng-chong/catv2ton
공식 코드CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal Concatenation
https://github.com/zheng-chong/catvton
공식 코드CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
https://github.com/zhengchen1999/dove
공식 코드DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
https://github.com/zhengchen1999/hi-diff
공식 코드Hierarchical Integration Diffusion Model for Realistic Image Deblurring
https://github.com/zhengli427/OKDHP
공식 코드https://github.com/zhengxi-git/phase-slam
공식 코드https://github.com/zhenpeiyang/RelativePose
공식 코드Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
https://github.com/zhenpeiyang/fvor
공식 코드FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction
https://github.com/zhenpeiyang/hm3d-abo
공식 코드HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstruction
https://github.com/zhezh/adafuse-3d-human-pose
공식 코드AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild
https://github.com/zhihongz/infwide
공식 코드https://github.com/zhijie-group/lovecon
공식 코드LOVECon: Text-driven Training-Free Long Video Editing with ControlNet
https://github.com/zhijie-group/unicms
공식 코드UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding
https://github.com/zhijieW94/ETNet
공식 코드ETNet: Error Transition Network for Arbitrary Style Transfer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.