https://github.com/i2-multimedia-lab/diffusest
공식 코드DiffuseST: Unleashing the Capability of the Diffusion Model for Style Transfer
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/iGame-Lab/LASOR
공식 코드https://github.com/iamalexkorotin/Wasserstein2GenerativeNetworks
공식 코드https://github.com/ianxmason/local-phases
공식 코드https://github.com/ianyeung/mgld-vsr
공식 코드Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution
https://github.com/iballester/SPiKE
공식 코드https://github.com/icetttb/nopesac
공식 코드NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction
https://github.com/icitylab/posegraf
공식 코드PoseGRAF: Geometric-Reinforced Adaptive Fusion for Monocular 3D Human Pose Estimation
https://github.com/ictnlp/sammt
공식 코드Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation
https://github.com/idea-research/click-pose
공식 코드https://github.com/idea-research/dino-x-api
공식 코드DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding
https://github.com/idea-research/dwpose
공식 코드Effective Whole-body Pose Estimation with Two-stages Distillation
https://github.com/idea-research/ed-pose
공식 코드Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
https://github.com/idea-research/x-pose
공식 코드https://github.com/idiap/residual_pose
공식 코드Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation
https://github.com/idiap/rnv
공식 코드Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech
https://github.com/idsia-robotics/proximity-quadrotor-learning
공식 코드Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches
https://github.com/iglict/stylizednerf
공식 코드StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning
https://github.com/iiscleap/zest
공식 코드Zero Shot Audio to Audio Emotion Transfer With Speaker Disentanglement
https://github.com/iit-pavis/learnaug-uda
공식 코드Learnable Data Augmentation for One-Shot Unsupervised Domain Adaptation
https://github.com/iit-pavis/posernet
공식 코드PoserNet: Refining Relative Camera Poses Exploiting Object Detections
https://github.com/ikea/ikea3dassemblydataset
공식 코드https://github.com/illumara/vton-handfit
공식 코드VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding
https://github.com/ilyagusev/rudetox
공식 코드https://github.com/imagination-research/distilled-decoding
공식 코드Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
https://github.com/iminthemiddle/vatl4pose-wacv2024
공식 코드Active Transfer Learning for Efficient Video-Specific Human Pose Estimation
https://github.com/imitrob/imitrob_dataset_code
공식 코드Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators
https://github.com/imrclab/flying_adversarial_patch
공식 코드Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches
https://github.com/inception3d/easi3r
공식 코드Easi3R: Estimating Disentangled Motion from DUSt3R Without Training
https://github.com/inclusionai/ming
공식 코드Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction
https://github.com/indigopurple/efenet
공식 코드EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
https://github.com/indigopurple/tsamt
공식 코드https://github.com/infiniq-ai1/clipvqdiffusion
공식 코드https://github.com/instantX-research/Regional-Prompting-FLUX
공식 코드https://github.com/instantstyle/instantstyle
공식 코드InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
https://github.com/instantx-research/instantstyle-plus
공식 코드InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.