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Found 6 papers, 3 papers with code
AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art
Our comparative analysis is based on an extensive dataset, dubbed ``ArtConstellation,'' consisting of annotations about art principles, likability, and emotions for 6, 000 WikiArt and 3, 200 AI-generated artworks.
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
A human evaluation aligned with 95% of our evaluations on average was conducted to probe the effectiveness of HRS-Bench.
FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Trait Prediction
Aquatic species are essential components of the world's ecosystem, and the preservation of aquatic biodiversity is crucial for maintaining proper ecosystem functioning.
It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection
As a step in this direction, the ArtEmis dataset was recently introduced as a large-scale dataset of emotional reactions to images along with language explanations of these chosen emotions.
Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor
Our evaluations show a clear improvement in the efficiency of using human editors and an improved video generation quality.
Generating Dataset For Large-scale 3D Facial Emotion Recognition
The main reason for the slow development of 3D FER is the unavailability of large training and large test datasets.
