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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/yegyu-han/senseshift6d

공식 코드

SenseShift6D: Multimodal RGB-D Benchmarking for Robust 6D Pose Estimation across Environment and Sensor Variations

https://github.com/yehli/xmodaler

공식 코드

Semantic-Conditional Diffusion Networks for Image Captioning

https://github.com/yerfor/Real3DPortrait

공식 코드

Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis

https://github.com/yeungchenwa/fontdiffuser

공식 코드

FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning

https://github.com/yewzijian/regtr

공식 코드

REGTR: End-to-end Point Cloud Correspondences with Transformers

https://github.com/yhdang/dhrnet-multi-pose-estimation

공식 코드

DHRNet: A Dual-Path Hierarchical Relation Network for Multi-Person Pose Estimation

https://github.com/yhdang/pose-estimation

공식 코드

Relation-Based Associative Joint Location for Human Pose Estimation in Videos

https://github.com/yhsong98/ct-us-i2i-translation

공식 코드

S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic Ultrasonography

https://github.com/yhw-yhw/talkshow

공식 코드

Generating Holistic 3D Human Motion from Speech

https://github.com/yifan123/flow_grpo

공식 코드

Flow-GRPO: Training Flow Matching Models via Online RL

https://github.com/yifanlu0227/coalign

공식 코드

Robust Collaborative 3D Object Detection in Presence of Pose Errors

https://github.com/yifyang993/hilo

공식 코드

HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models

https://github.com/yihui-he/epipolar-transformers

공식 코드

Epipolar Transformers

https://github.com/yilundu/reduce_reuse_recycle

공식 코드

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

https://github.com/yingkaid/jailfuzzer

공식 코드

Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

https://github.com/yingutk/NL-MAT

공식 코드

Non-Local Representation based Mutual Affine-Transfer Network for Photorealistic Stylization

https://github.com/yiranran/Audio-driven-TalkingFace-HeadPose

공식 코드

Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose

https://github.com/yisol/IDM-VTON

공식 코드

Improving Diffusion Models for Authentic Virtual Try-on in the Wild

https://github.com/yistLin/FragmentVC

공식 코드

FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention

https://github.com/yisuanwang/idea23d

공식 코드

Idea23D: Collaborative LMM Agents Enable 3D Model Generation from Interleaved Multimodal Inputs

https://github.com/yisuanwang/soulstyler

공식 코드

Soulstyler: Using Large Language Model to Guide Image Style Transfer for Target Object

https://github.com/yitongx/sinerf

공식 코드

SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction

https://github.com/yixinL7/Direct-Style-Transfer

공식 코드

On Learning Text Style Transfer with Direct Rewards

https://github.com/yjhuangcd/rule-guided-music

공식 코드

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion

https://github.com/yjzhang96/motion-etr

공식 코드

Exposure Trajectory Recovery from Motion Blur

https://github.com/yjzhang96/neurmap-deblur

공식 코드

Neural Maximum A Posteriori Estimation on Unpaired Data for Motion Deblurring

https://github.com/yl4579/StarGANv2-VC

공식 코드

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

https://github.com/yl4579/StyleTTS-VC

공식 코드

StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models

https://github.com/ylochman/babelcalib

공식 코드

BabelCalib: A Universal Approach to Calibrating Central Cameras

https://github.com/yoavarad/mfad

공식 코드

Beyond the Benchmark: Detecting Diverse Anomalies in Videos

https://github.com/yonatanbitton/wysiwyr

공식 코드

What You See is What You Read? Improving Text-Image Alignment Evaluation

https://github.com/yonghaoxu/txt2img-mhn

공식 코드

Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks

https://github.com/yongqyu/TCN

공식 코드

Typeface Completion with Generative Adversarial Networks

https://github.com/yonseivnl/cmota

공식 코드

Story Visualization by Online Text Augmentation with Context Memory

https://github.com/yoonkim/neural-qcfg

공식 코드

Sequence-to-Sequence Learning with Latent Neural Grammars

https://github.com/yoqim/pose_vireid

공식 코드

On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification

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