Search Results for author:
Found 7 papers, 6 papers with code
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
Accurate representation in media is known to improve the well-being of the people who consume it.
Robot Synesthesia: A Sound and Emotion Guided AI Painter
For speech, we decouple speech into its transcribed text and the tone of the speech.
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset
It has been shown that accurate representation in media improves the well-being of the people who consume it.
Cultural Vocal Bursts Intensity Prediction
Image Generation
+3
Towards Real-Time Text2Video via CLIP-Guided, Pixel-Level Optimization
We introduce an approach to generating videos based on a series of given language descriptions.
StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation
Generating images that fit a given text description using machine learning has improved greatly with the release of technologies such as the CLIP image-text encoder model; however, current methods lack artistic control of the style of image to be generated.
StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis
Generating images that fit a given text description using machine learning has improved greatly with the release of technologies such as the CLIP image-text encoder model; however, current methods lack artistic control of the style of image to be generated.
Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent
The objective of most Reinforcement Learning painting agents is to minimize the loss between a target image and the paint canvas.
