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

https://github.com/rafaeelaudibert/FINNger

공식 코드

FINNger -- Applying artificial intelligence to ease math learning for children

https://github.com/rahulbhalley/cyclegan-qp

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Artist Style Transfer Via Quadratic Potential

https://github.com/raivnlab/mimic

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MIMIC: Masked Image Modeling with Image Correspondences

https://github.com/rajeevyasarla/UMSN-Face-Deblurring

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Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks

https://github.com/raktimgg/robopepp

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RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training

https://github.com/ranery/Bayesian-CycleGAN

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Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling

https://github.com/rang1991/public-intermediate-semantics-for-generation

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Generating Intermediate Representations for Compositional Text-To-Image Generation

https://github.com/raojiyong/ppap

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Probabilistic Prompt Distribution Learning for Animal Pose Estimation

https://github.com/raosudha89/GYAFC-corpus

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Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer

https://github.com/raptor-msstate/xdecode

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X-DECODE: EXtreme Deblurring with Curriculum Optimization and Domain Equalization

https://github.com/rassaire/DmoGpm

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Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human joints

https://github.com/rawalkhirodkar/MIPNet

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Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation

https://github.com/rawalkhirodkar/car_pose

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Domain Randomization for Scene-Specific Car Detection and Pose Estimation

https://github.com/razayunus/ManhattanSLAM

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ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan Frames

https://github.com/razvancaramalau/Sequential-GCN-for-Active-Learning

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Sequential Graph Convolutional Network for Active Learning

https://github.com/razvancaramalau/al_bhpe

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Active Learning for Bayesian 3D Hand Pose Estimation

https://github.com/recklessronan/muse

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Exchanging-based Multimodal Fusion with Transformer

https://github.com/redaigc/storymaker

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StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation

https://github.com/redorangeyellowy/AttentionHand

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AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild

https://github.com/redrock303/revisiting-temporal-alignment-for-video-restoration

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Revisiting Temporal Alignment for Video Restoration

https://github.com/reedscot/icml2016

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Generative Adversarial Text to Image Synthesis

https://github.com/reiinakano/neural-painters-pytorch

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Neural Painters: A learned differentiable constraint for generating brushstroke paintings

https://github.com/rem105-210/difffashion

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DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models

https://github.com/renanrojasg/adv_robust_autoencoder

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Inverting Adversarially Robust Networks for Image Synthesis

https://github.com/rese1f/PoseDA

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Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation

https://github.com/researchcode001/divide-and-conquer-attack

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Harnessing LLM to Attack LLM-Guarded Text-to-Image Models

https://github.com/researcher-tiger/moepg

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Reinforcement Learning Guided Multi-Objective Exam Paper Generation

https://github.com/researchmm/TTVSR

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Learning Trajectory-Aware Transformer for Video Super-Resolution

https://github.com/researchmm/ftvsr

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Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution

https://github.com/researchmm/generate-it

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Unifying Multimodal Transformer for Bi-directional Image and Text Generation

https://github.com/researchmm/sttr

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Fine-Grained Image Style Transfer with Visual Transformers

https://github.com/researchmm/vqd-sr

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Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution

https://github.com/retrocirce/musicldm

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MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies

https://github.com/rezashkv/diffusion_pruning

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Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models

https://github.com/rezazad68/deep-intervertebral-disc-labeling

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Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling

https://github.com/rf5/simple-asgan

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GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion Models

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