Papers2

#identity fidelity

DreamID-V:Bridging the Image-to-Video Gap for High-Fidelity Face Swapping via Diffusion Transformer

DreamID-V is a new AI method that swaps faces in videos while keeping the body movements, expressions, lighting, and background steady and natural.

#video face swapping#image face swapping#diffusion transformer

OpenSubject: Leveraging Video-Derived Identity and Diversity Priors for Subject-driven Image Generation and Manipulation

Intermediate

Yexin Liu, Manyuan Zhang et al.Dec 9arXiv

OpenSubject is a giant video-based dataset (2.5M samples, 4.35M images) built to help AI make pictures that keep each person or object looking like themselves, even in busy scenes.

#subject-driven generation#identity fidelity#video-derived dataset