Latest Articles for Digital Art

This article discusses improving facial expression generation using Action Units.

A new approach to manipulate lighting in images with enhanced accuracy.

A new method turns phone images into lifelike avatars easily.

A new method enhances 3D scene editing by focusing on lighting.

New method improves image quality without specific input in generation.

This method improves safety in image generation while maintaining quality.

TEAdapter enhances music generation from text, providing users greater control and creativity.

A new model for realistic face swapping using advanced techniques.

A quick method for editing images using simple text prompts.

Learn how sprite decomposition simplifies video editing tasks.

Exploring Textual Inversion and vision transformers for image generation.

ViMo technique transforms everyday videos into realistic 3D movements.

A fresh take on shape reconstruction using the many-worlds perspective.

A new method streamlines 3D scene editing using just one 2D image.

A new model streamlines image editing by combining simple functions for efficiency.

A unified approach to enhance vector graphics through combined techniques.

A single model improves image quality across multiple scales efficiently.

Learn how Harmonizing Attention improves image blending by focusing on geometry and texture.

A look at NFT metadata storage risks and decentralized alternatives.

A new method improves image editing through text descriptions while maintaining quality.

An overview of Reddit's collaborative pixel-art experiments and user behavior.

A new method streamlines applying artistic styles to 3D scenes efficiently.

Analyzing the transformation of art styles from 2010 to 2020.

New methods enhance image generation from text with improved quality and efficiency.

A new method for creating RGBA images easily and effectively.

TEDRA allows users to edit 3D avatars using simple text instructions.

A new method enhances 3D scene style transfer using Gaussian Splatting.

A new method for creating textures directly on 3D surfaces, avoiding common issues.

A new method improves precision in localized image edits using diffusion models.

New methods improve image generation efficiency on limited devices.

LOCO Edit allows precise image edits without additional training.

This approach combines autoencoders and diffusion techniques for clearer images.

GIMDiffusion simplifies 3D generation from text descriptions using geometry images.

A new method enhances the quality and realism of face swapping.

This research focuses on training ControlNet while safeguarding user data across devices.

Exploring privacy concerns in fine-tuning diffusion models with personal data.

New methods create realistic interactions between digital humans and objects using text descriptions.

New method allows unique image creation from a single reference photo.

A new method improves image modifications with better accuracy and efficiency.

InstantDrag streamlines image editing with fast and realistic adjustments.