https://github.com/lijuncen/Sentiment-and-Style-Transfer
공식 코드Delete, Retrieve, Generate: A Simple Approach to Sentiment and 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/limaosen0/AS-GCN
공식 코드Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition
https://github.com/limi44/Parkinson-s-Pose-Estimation-Dataset
공식 코드https://github.com/limingcv/Photorealistic-Style-Transfer
공식 코드https://github.com/limuloo/3DIS
공식 코드3DIS: Depth-Driven Decoupled Instance Synthesis for Text-to-Image Generation
https://github.com/limuloo/migc
공식 코드MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis
https://github.com/lin-jinwei/OneTo3D
공식 코드OneTo3D: One Image to Re-editable Dynamic 3D Model and Video Generation
https://github.com/linchintung/vmt
공식 코드InverseMV: Composing Piano Scores with a Convolutional Video-Music Transformer
https://github.com/linear95/rlm
공식 코드https://github.com/linfengWen98/CAP-VSTNet
공식 코드CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer
https://github.com/lingjiekong-fdu/anymaker
공식 코드https://github.com/lingjiekong-fdu/custany
공식 코드https://github.com/lingyanruan/lakdnet
공식 코드https://github.com/linjing7/VR-Baseline
공식 코드Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
https://github.com/linllll/maskst
공식 코드https://github.com/linnanwang/AlphaX-NASBench101
공식 코드AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search
https://github.com/linwu-github/person-image-generation
공식 코드T-Person-GAN: Text-to-Person Image Generation with Identity-Consistency and Manifold Mix-Up
https://github.com/linyicheng1/orb_slam3_localization
공식 코드https://github.com/liren2515/dmap
공식 코드Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates
https://github.com/liruilong940607/OCHumanApi
공식 코드https://github.com/liruilong940607/Pose2Seg
공식 코드https://github.com/lishaoxu1994/diffstyler
공식 코드https://github.com/lishaoxu1994/instant-nerf-stylization
공식 코드https://github.com/lishuhuai527/coco-unihuman
공식 코드https://github.com/lisiyaoATbnu/crcnet
공식 코드https://github.com/litterbrother-xiao/overview-of-non-autoregressive-applications
공식 코드A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
https://github.com/little-misfit/boow-vton
공식 코드BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training
https://github.com/little-misfit/survey-of-virtual-try-on
공식 코드https://github.com/littlewhitesea/STDAN
공식 코드STDAN: Deformable Attention Network for Space-Time Video Super-Resolution
https://github.com/litwellchi/mmtrail
공식 코드MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions
https://github.com/liu-sd/multi-output-deblur
공식 코드https://github.com/liujin112/zepo
공식 코드https://github.com/liuruijin17/clgo
공식 코드Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints
https://github.com/liusongxiang/StarGAN-Voice-Conversion
공식 코드AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
https://github.com/liutaocode/DiffDub
공식 코드DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder
https://github.com/liuxubo717/sound_generation
공식 코드Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.