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코드

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

https://github.com/j1anglin/ReCorD

공식 코드

ReCorD: Reasoning and Correcting Diffusion for HOI Generation

https://github.com/j96w/6-PACK

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6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints

https://github.com/jacklangerman/dance

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Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels

https://github.com/jacklishufan/popalignsdxl

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PopAlign: Population-Level Alignment for Fair Text-to-Image Generation

https://github.com/jacksonkaunismaa/neural-music

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cMelGAN: An Efficient Conditional Generative Model Based on Mel Spectrograms

https://github.com/jackwoo0831/depthmot

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DepthMOT: Depth Cues Lead to a Strong Multi-Object Tracker

https://github.com/jaewoo97/t2p

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Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning

https://github.com/jaisharmz/geocentric-pose

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A Deep Learning Ensemble Framework for Off-Nadir Geocentric Pose Prediction

https://github.com/jakezhaojb/ARAE

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Adversarially Regularized Autoencoders

https://github.com/jameelhassan/poseestimation

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To Perceive or Not to Perceive: Lightweight Stacked Hourglass Network

https://github.com/jameslong199/autonomous-transducer-project

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Localizing Scan Targets from Human Pose for Autonomous Lung Ultrasound Imaging

https://github.com/jamie-cheung/artbank

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ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank

https://github.com/jamie-cheung/lsast

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Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt

https://github.com/jammer345/SL-CycleGAN-Blind-Motion-Deblurring-in-Cycles-using-Sparse-Learning

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SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning

https://github.com/jamycheung/matchformer

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MatchFormer: Interleaving Attention in Transformers for Feature Matching

https://github.com/jankowskichristopher/red-teaming-segment-anything-model

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Red-Teaming Segment Anything Model

https://github.com/jarchv/solverip

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Generative Flows as a General Purpose Solution for Inverse Problems

https://github.com/jarek-pawlowski/microbial-dataset-generation

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Generation of microbial colonies dataset with deep learning style transfer

https://github.com/jarvisyjw/gv-bench

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GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure Detection

https://github.com/jasonyzhang/phd

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Predicting 3D Human Dynamics from Video

https://github.com/javrtg/c2p

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From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation

https://github.com/jayoungkim408/sos

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SOS: Score-based Oversampling for Tabular Data

https://github.com/jayparanjape/f-vita

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F-ViTA: Foundation Model Guided Visible to Thermal Translation

https://github.com/jayrmh/QAERTS

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Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

https://github.com/jcorsetti/fcgf6d

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Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation

https://github.com/jcyang98/inst

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Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation

https://github.com/jech2/ym2413-mdb

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YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations

https://github.com/jeff-sjtu/dnd

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D&D: Learning Human Dynamics from Dynamic Camera

https://github.com/jeff-sjtu/niki

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NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation

https://github.com/jeffery9707/diffslva

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DiffSLVA: Harnessing Diffusion Models for Sign Language Video Anonymization

https://github.com/jeffhernandez1995/GenLlaVA

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Generative Visual Instruction Tuning

https://github.com/jegzheng/truncated-diffusion-probabilistic-models

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Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders

https://github.com/jeremyxsc/finegpr

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Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification

https://github.com/jessegator/sonar

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Where are we in audio deepfake detection? A systematic analysis over generative and detection models

https://github.com/jfzhang95/BMP

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Body Meshes as Points

https://github.com/jfzhang95/PoseAug

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PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.