8 papers
Bridging Online and Offline Handwriting via Differentiable Physical Rendering
Seonmi Park, Seunghyun Shin, Vihaan Misra +4
Realistic handwritten text generation plays an important role in numerous applications, such as font design, biometric authentication, and robotic calligraphy. Existing methods are…
Universal Image Immunization against Diffusion-based Image Editing via Semantic Injection
Chanhui Lee, Donggyu Choi, Seunghyun Shin +2
Diffusion model advances have enabled powerful text-guided image editing, but also raise ethical and legal risks such as deepfakes and unauthorized use. To prevent these risks, adv…
PIAvatar: Physically Interactive Avatars via Deformation Gradient Decoupling
Sang-Hun Han, Min-Gyu Park, Jisu Shin +3
3D human avatars have shown impressive visual fidelity driven by pose-conditioned models, yet they still lack the physical ability required for interactions with each other and env…
TriMotion: Modality-Agnostic Camera Control for Video Generation
Seunghyun Shin, Jifei Song, Wooseok Jeon +2
Camera motion control is essential for directing viewpoint changes in generative systems. However, existing methods typically condition the generation process on a single specific…
Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models
Wooseok Jeon, Seungho Park, Seunghyun Shin +3
Image-to-video models often generate videos that remain overly static, compared to text-to-video models. While prior approaches mitigate this issue by weakening or modifying the im…
Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening
Wooseok Jeon, Seunghyun Shin, Dongmin Shin +1
Recent progress in image-to-video (I2V) diffusion models has significantly advanced the field of generative inbetweening, which aims to generate semantically plausible frames betwe…