https://github.com/artiprocher/sd-webui-fastblend
공식 코드FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier
Papers with Code 아카이브
Image Matching
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 2
- 보존된 평가 기록
- 18
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/axelBarroso/Key.Net
공식 코드Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
https://github.com/bofang98/uatvr
공식 코드https://github.com/bupt-ai-cz/tcvc
공식 코드Temporal Consistent Automatic Video Colorization via Semantic Correspondence
https://github.com/casia-iva-lab/filo
공식 코드https://github.com/chaofengc/Face-Sketch-Wild
공식 코드Semi-Supervised Learning for Face Sketch Synthesis in the Wild
https://github.com/chenhaoxing/ssformers
공식 코드https://github.com/clferrari/SLC-3DMM
공식 코드https://github.com/clin1223/vldet
공식 코드Learning Object-Language Alignments for Open-Vocabulary Object Detection
https://github.com/clovaai/deep-text-recognition-benchmark
공식 코드What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
https://github.com/cvg/lightglue
공식 코드https://github.com/cvlab-epfl/disk
공식 코드https://github.com/danaesavi/socialmedia-textimage-classification-auxlosses
공식 코드Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks
https://github.com/daodaofr/caffe-re-id
공식 코드https://github.com/di-marcos/RotEqNet
공식 코드https://github.com/dongdongdong666/CPGAN
공식 코드CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
https://github.com/ducha-aiki/affnet
공식 코드Repeatability Is Not Enough: Learning Affine Regions via Discriminability
https://github.com/dvlab-research/ref-npr
공식 코드Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization
https://github.com/dzh19990407/ppmn
공식 코드PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding
https://github.com/ensv/TS-Net
공식 코드TS-Net: Combining modality specific and common features for multimodal patch matching
https://github.com/facebookresearch/vlpart
공식 코드https://github.com/french-paragon/libstevi
공식 코드Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching
https://github.com/gangweix/acvnet
공식 코드Attention Concatenation Volume for Accurate and Efficient Stereo Matching
https://github.com/gangweix/igev
공식 코드IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching
https://github.com/gangweix/igev-plusplus
공식 코드IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching
https://github.com/gecgomes/Multilingual_IC_Eval
공식 코드Evaluation of Multilingual Image Captioning: How far can we get with CLIP models?
https://github.com/govindjsk/catsetmat
공식 코드The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs
https://github.com/grishavak/PaCNet-denoiser
공식 코드Patch Craft: Video Denoising by Deep Modeling and Patch Matching
https://github.com/grishavak/pcst
공식 코드Patch-Craft Self-Supervised Training for Correlated Image Denoising
https://github.com/icannistraci/bootstrapping-ao
공식 코드https://github.com/jameslahm/scpnet
공식 코드Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
https://github.com/jcy132/PatchGCL
공식 코드https://github.com/jiahao000/orl
공식 코드Unsupervised Object-Level Representation Learning from Scene Images
https://github.com/jingxiaolun/tc-mgc
공식 코드TC-MGC: Text-Conditioned Multi-Grained Contrastive Learning for Text-Video Retrieval
https://github.com/juhongm999/chm
공식 코드https://github.com/juhongm999/dhpf
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.