Search Results for author:
Found 7 papers, 2 papers with code
SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing
This includes rectifying the editing instructions to better align with the original-edited image pairs and using contrastive editing instructions to further enhance their effectiveness.
Where do Large Vision-Language Models Look at when Answering Questions?
Large Vision-Language Models (LVLMs) have shown promising performance in vision-language understanding and reasoning tasks.
Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation
Text-to-image (T2I) generation has made significant advances in recent years, but challenges still remain in the generation of perceptual artifacts, misalignment with complex prompts, and safety.
GPVK-VL: Geometry-Preserving Virtual Keyframes for Visual Localization under Large Viewpoint Changes
However, existing methods for synthesizing novel views to assist localization often fail to ensure geometric accuracy under large viewpoint changes.
Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations
Active recognition, which allows intelligent agents to explore observations for better recognition performance, serves as a prerequisite for various embodied AI tasks, such as grasping, navigation and room arrangements.
Fairness-Aware Unsupervised Feature Selection
Feature selection is a prevalent data preprocessing paradigm for various learning tasks.
DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal
Further, we design an inner-scale connection block to utilize the multi-scale information and features fusion way between different scales to improve rain representation ability and we introduce the dense block with skip connection to inner-connect these blocks.
