https://github.com/songluchuan/adasr-talkinghead
공식 코드Adaptive Super Resolution For One-Shot Talking-Head Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Adaptive Super Resolution For One-Shot Talking-Head Generation
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
Towards Robust FastSpeech 2 by Modelling Residual Multimodality
Automatic Piano Transcription with Hierarchical Frequency-Time Transformer
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion
Volumetric medical image segmentation through dual self-distillation in U-shaped networks
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments
ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval
Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona
ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion Segmentation
DALE: Generative Data Augmentation for Low-Resource Legal NLP
DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT
A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel Decoding
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying
Solving Common-Payoff Games with Approximate Policy Iteration
Solving Common-Payoff Games with Approximate Policy Iteration
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
Kolmogorov-Arnold Network for Remote Sensing Image Semantic Segmentation
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
Math Word Problem Solving by Generating Linguistic Variants of Problem Statements
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.