7 citations · 8 across the 6 of their papers we have counts for
7 papers
UniVerse: A Unified Modulation Framework for Segmentation-Free,Disentangled Multi-Concept Personalization
Quynh Phung, Sandesh Ghimire, Minsi Hu +2
Personalized visual understanding has advanced significantly, yet existing approaches struggle to localize and extract specific concepts when input images contain multiple objects.…
TRACE: Object Motion Editing in Videos with First-Frame Trajectory Guidance
Quynh Phung, Long Mai, Cusuh Ham +3
We study object motion path editing in videos, where the goal is to alter a target object's trajectory while preserving the original scene content. Unlike prior video editing metho…
CineVerse: Consistent Keyframe Synthesis for Cinematic Scene Composition
Quynh Phung, Long Mai, Fabian David Caba Heilbron +3
We present CineVerse, a novel framework for the task of cinematic scene composition. Similar to traditional multi-shot generation, our task emphasizes the need for consistency and…
Coherent Zero-Shot Visual Instruction Generation
Quynh Phung, Songwei Ge, Jia-Bin Huang
Despite the advances in text-to-image synthesis, particularly with diffusion models, generating visual instructions that require consistent representation and smooth state transiti…
Grounded Text-to-Image Synthesis with Attention Refocusing
Quynh Phung, Songwei Ge, Jia-Bin Huang
Driven by the scalable diffusion models trained on large-scale datasets, text-to-image synthesis methods have shown compelling results. However, these models still fail to precisel…
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images
Long-Nhat Ho, Anh Tuan Tran, Quynh Phung +1
Recovering the 3D structure of an object from a single image is a challenging task due to its ill-posed nature. One approach is to utilize the plentiful photos of the same object c…
Explore Image Deblurring via Blur Kernel Space
Phong Tran, Anh Tran, Quynh Phung +1
This paper introduces a method to encode the blur operators of an arbitrary dataset of sharp-blur image pairs into a blur kernel space. Assuming the encoded kernel space is close e…