3 papers
cs.CV2025
DirectDrag: High-Fidelity, Mask-Free, Prompt-Free Drag-based Image Editing via Readout-Guided Feature Alignment
Sheng-Hao Liao, Shang-Fu Chen, Tai-Ming Huang +2
Drag-based image editing using generative models provides intuitive control over image structures. However, existing methods rely heavily on manually provided masks and textual pro…
cs.CV2025
Sparse-Up: Learnable Sparse Upsampling for 3D Generation with High-Fidelity Textures
Lu Xiao, Jiale Zhang, Yang Liu +2
The creation of high-fidelity 3D assets is often hindered by a 'pixel-level pain point': the loss of high-frequency details. Existing methods often trade off one aspect for another…
cs.CV2025
ThinkFake: Reasoning in Multimodal Large Language Models for AI-Generated Image Detection
Tai-Ming Huang, Wei-Tung Lin, Kai-Lung Hua +3
The increasing realism of AI-generated images has raised serious concerns about misinformation and privacy violations, highlighting the urgent need for accurate and interpretable d…