28 citations · 167 across the 50 of their papers we have counts for
5 papers · 1 filter
Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty?
Yichen Feng, Yuetai Li, Chunjiang Liu +14
Multimodal large language models (MLLMs) are now routinely deployed for visual understanding, generation, and curation. A substantial fraction of these applications require an expl…
Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning
Sherry X. Chen, Misha Sra, Pradeep Sen
Although natural language instructions offer an intuitive way to guide automated image editing, deep-learning models often struggle to achieve high-quality results, largely due to…
AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling
Sherry X. Chen, Yaron Vaxman, Elad Ben Baruch +4
We propose Image Content Appeal Assessment (ICAA), a novel metric that quantifies the level of positive interest an image's content generates for viewers, such as the appeal of foo…
TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing
Sherry X. Chen, Yaron Vaxman, Elad Ben Baruch +5
Despite many attempts to leverage pre-trained text-to-image models (T2I) like Stable Diffusion (SD) for controllable image editing, producing good predictable results remains a cha…
SPOTR: Spatio-temporal Pose Transformers for Human Motion Prediction
Avinash Ajit Nargund, Misha Sra
3D human motion prediction is a research area of high significance and a challenge in computer vision. It is useful for the design of many applications including robotics and auton…