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공식 코드Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
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Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner
VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss
ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors
FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models
Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image
Write and Paint: Generative Vision-Language Models are Unified Modal Learners
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
Artistic Enhancement and Style Transfer of Image Edges using Directional Pseudo-coloring
PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data
MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection
PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer
PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer
Towards Squeezing-Averse Virtual Try-On via Sequential Deformation
A lightweight 3D dense facial landmark estimation model from position map data
Humans in 4D: Reconstructing and Tracking Humans with Transformers
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.