https://github.com/zhijin-ge/stm
공식 코드Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
Papers with Code 아카이브
1 Image, 2*2 Stitchi
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhijing-jin/IMT
공식 코드IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation
https://github.com/zhijing-jin/IMaT
공식 코드IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation
https://github.com/zhijing-jin/Text_Style_Transfer_Survey
공식 코드https://github.com/zhiqiangdon/CU-Net
공식 코드Quantized Densely Connected U-Nets for Efficient Landmark Localization
https://github.com/zhitengli/bidrn
공식 코드BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
https://github.com/zhjohnchan/bert-clip-synesthesia
공식 코드On the Difference of BERT-style and CLIP-style Text Encoders
https://github.com/zhongcl-thu/snake
공식 코드https://github.com/zhonghuayi/ei-nexus_official
공식 코드https://github.com/zhongliangguo/acdm
공식 코드Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack
https://github.com/zhongliangguo/fp-attack
공식 코드https://github.com/zhongniuniu/PAMRFuse-plus
공식 코드https://github.com/zhongzero/multi-modal-prompt
공식 코드User-Friendly Customized Generation with Multi-Modal Prompts
https://github.com/zhou13/nerd
공식 코드https://github.com/zhoujiahuan1991/aaai2025-lreid-dask
공식 코드https://github.com/zhouxian/act3d-chained-diffuser
공식 코드Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
https://github.com/zhuang-li/vae-dprior
공식 코드https://github.com/zhujunli1993/swindepose
공식 코드Depth-based 6DoF Object Pose Estimation using Swin Transformer
https://github.com/zhuole1025/symmv
공식 코드Video Background Music Generation: Dataset, Method and Evaluation
https://github.com/zhuyue0324/decanus-to-legatus
공식 코드Decanus to Legatus: Synthetic training for 2D-3D human pose lifting
https://github.com/zhyack/MAST
공식 코드https://github.com/zhyhan/transpar
공식 코드Learning Transferable Parameters for Unsupervised Domain Adaptation
https://github.com/ziangcao0312/PhysX
공식 코드https://github.com/zibin6/lopet
공식 코드Line-based 6-DoF Object Pose Estimation and Tracking With an Event Camera
https://github.com/zichongc/doesfs
공식 코드Deformable One-shot Face Stylization via DINO Semantic Guidance
https://github.com/zihuiwu/PnP-DM-public
공식 코드Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
https://github.com/ziniuwan/maed
공식 코드Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation
https://github.com/zinsmatt/3D-Aware-Ellipses-for-Visual-Localization
공식 코드3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation
https://github.com/zipengxuc/spectralclip
공식 코드SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective
https://github.com/zipengxuc/stylerdalle
공식 코드https://github.com/ziqin-h/givepose
공식 코드https://github.com/zitiantang/thermal-im
공식 코드What Happened 3 Seconds Ago? Inferring the Past with Thermal Imaging
https://github.com/zitronian/6dposediffusion
공식 코드Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models
https://github.com/ziyizhang27/dite-hrnet
공식 코드Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation
https://github.com/ziyuey/cssstn
공식 코드https://github.com/ziyuguo99/image-generation-cot
공식 코드Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.