activity
20242026
collaborators

11 papers

gr-qc2026

Semiclassical Cosmological Constant in Anti-de Sitter and de Sitter Spacetimes

Milton C. Mamani-Leqque

We investigate the semiclassical Einstein equation for a quantized scalar field in four-dimensional anti-de Sitter (AdS) and de Sitter (dS) spacetimes. We first determine self-cons…

cs.CV2026

WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation

Sangeyl Lee, Seunghyun Shin, Seungho Park +2

Human image animation aims to transfer motion from a driving video to subjects in a reference image. Despite remarkable progress in video generation, achieving high-fidelity animat…

cs.CV2026

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…

cs.GR2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

Video Color Grading via Look-Up Table Generation

Seunghyun Shin, Dongmin Shin, Jisu Shin +2

Different from color correction and transfer, color grading involves adjusting colors for artistic or storytelling purposes in a video, which is used to establish a specific look o…

cs.CV2025

CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction

Jisu Shin, Richard Shaw, Seunghyun Shin +3

Modern camera pipelines apply extensive on-device processing, such as exposure adjustment, white balance, and color correction, which, while beneficial individually, often introduc…

cs.CV2024

Kinetic Typography Diffusion Model

Seonmi Park, Inhwan Bae, Seunghyun Shin +1

This paper introduces a method for realistic kinetic typography that generates user-preferred animatable 'text content'. We draw on recent advances in guided video diffusion models…