22 citations · 24 across the 7 of their papers we have counts for
7 papers
ArtifactLens: Hundreds of Labels Are Enough for Artifact Detection with VLMs
James Burgess, Rameen Abdal, Dan Stoddart +3
Modern image generators produce strikingly realistic images, where only artifacts like distorted hands or warped objects reveal their synthetic origin. Detecting these artifacts is…
Visual Personalization Turing Test
Rameen Abdal, James Burgess, Sergey Tulyakov +1
We introduce the Visual Personalization Turing Test (VPTT), a new paradigm for evaluating contextual visual personalization based on perceptual indistinguishability, rather than id…
Assisted Refinement Network Based on Channel Information Interaction for Camouflaged and Salient Object Detection
Kuan Wang, Yanjun Qin, Mengge Lu +2
Camouflaged Object Detection (COD) stands as a significant challenge in computer vision, dedicated to identifying and segmenting objects visually highly integrated with their backg…
UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models
Guanlong Jiao, Biqing Huang, Kuan-Chieh Wang +1
Flow matching models have emerged as a strong alternative to diffusion models, but existing inversion and editing methods designed for diffusion are often ineffective or inapplicab…
Converting Transformers into DGNNs Form
Jie Zhang, Mao-Hsuan Mao, Bo-Wei Chiu +1
Recent advances in deep learning have established Transformer architectures as the predominant modeling paradigm. Central to the success of Transformers is the self-attention mecha…
Open World Object Detection in the Era of Foundation Models
Orr Zohar, Alejandro Lozano, Shelly Goel +2
Object detection is integral to a bevy of real-world applications, from robotics to medical image analysis. To be used reliably in such applications, models must be capable of hand…
Iterative Motion Editing with Natural Language
Purvi Goel, Kuan-Chieh Wang, C. Karen Liu +1
Text-to-motion diffusion models can generate realistic animations from text prompts, but do not support fine-grained motion editing controls. In this paper, we present a method for…