https://github.com/huage001/painttransformer
공식 코드Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
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/huage001/transfer-any-style
공식 코드Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate
https://github.com/huangzhe885/codiff
공식 코드CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection
https://github.com/huangzy225/3d-gcl
공식 코드Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning
https://github.com/huawei-noah/Pretrained-IPT
공식 코드Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation
https://github.com/huawei-noah/Speech-Backbones
공식 코드Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
https://github.com/huawei-noah/noah-research/tree/master/CLIFF
공식 코드CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/huaxiuyao/mlti
공식 코드https://github.com/hubertsgithub/style_painting_robustness
공식 코드What Can Style Transfer and Paintings Do For Model Robustness?
https://github.com/huggingface/amused
공식 코드https://github.com/hughw19/NOCS_CVPR2019
공식 코드Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/hugofloresgarcia/vampnet
공식 코드VampNet: Music Generation via Masked Acoustic Token Modeling
https://github.com/huijiezh/progresslabeller
공식 코드ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perception
https://github.com/huiyegit/T2I_CL
공식 코드Improving Text-to-Image Synthesis Using Contrastive Learning
https://github.com/hukkelas/deep_privacy2
공식 코드https://github.com/hulianyuyy/corrnet_plus
공식 코드CorrNet+: Sign Language Recognition and Translation via Spatial-Temporal Correlation
https://github.com/hulianyuyy/sen_cslr
공식 코드Self-Emphasizing Network for Continuous Sign Language Recognition
https://github.com/human-analysis/MUXConv
공식 코드MUXConv: Information Multiplexing in Convolutional Neural Networks
https://github.com/humansensinglab/Hamba
공식 코드Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
https://github.com/humansensinglab/ITI-GEN
공식 코드https://github.com/hunto/reloss
공식 코드https://github.com/hustvl/EfficientPose
공식 코드EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search
https://github.com/hutaihang/atm
공식 코드Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing
https://github.com/huuxiaobin/vtbench
공식 코드VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Models
https://github.com/hwang-cs-ime/hcma
공식 코드HCMA: Hierarchical Cross-model Alignment for Grounded Text-to-Image Generation
https://github.com/hwang1996/maniclip
공식 코드https://github.com/hxixixh/amo-release
공식 코드https://github.com/hxwork/handbooster_pytorch
공식 코드https://github.com/hyeonseob-nam/Batch-Instance-Normalization
공식 코드Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
https://github.com/hyer/hdformer
공식 코드HDFormer: High-order Directed Transformer for 3D Human Pose Estimation
https://github.com/hygenie1228/cycleadapt_release
공식 코드Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction
https://github.com/hyhsimon/boosted-vsr
공식 코드Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
https://github.com/hyren/acl
공식 코드https://github.com/hyt35/prox-qn
공식 코드https://github.com/hywang2002/mv-vton
공식 코드https://github.com/hzwang96/pegg-net
공식 코드PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.