https://github.com/msu-video-group/erqa
공식 코드ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution
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ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution
Combining Contrastive and Supervised Learning for Video Super-Resolution Detection
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Accurate 3D Body Shape Regression using Metric and Semantic Attributes
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YuE: Scaling Open Foundation Models for Long-Form Music Generation
Anatomy-guided domain adaptation for 3D in-bed human pose estimation
Controlling Surprisal in Music Generation via Information Content Curve Matching
Perceptual Image Enhancement for Smartphone Real-Time Applications
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
Object Pose Estimation using Mid-level Visual Representations
TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder
Robust Large-Scale Localization in 3D Point Clouds Revisited
Generative Modeling of Microweather Wind Velocities for Urban Air Mobility
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum
Dockerface: an Easy to Install and Use Faster R-CNN Face Detector in a Docker Container
Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion
Robust Image Retrieval-based Visual Localization using Kapture
Robust Image Retrieval-based Visual Localization using Kapture
Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot
PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.