← Search

Jun Jia

9 accepted papers

2026

Adapter Shield: A Unified Framework with Built-in Authentication for Preventing Unauthorized Zero-Shot Image-to-Image Generation

CVPR 2026

With the rapid progress in diffusion models, image synthesis has advanced to the stage of zero-shot image-to-image generation, where high-fidelity replication of facial identities or artistic styles can be achieved using just one portrait or artwork, without modifying any model weights. Although the

Cited by 0SourceScholar
2026

Generalizable Video Quality Assessment via Weak-to-Strong Learning

CVPR 2026

Video quality assessment (VQA) seeks to predict the perceptual quality of a video in alignment with human visual perception, serving as a fundamental tool for quantifying quality degradation across video processing workflows. The dominant VQA paradigm relies on supervised training with human-labeled

Cited by 0SourcecodeScholar
2026

VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning

AAAI 2026technical

Video quality assessment (VQA) aims to objectively quantify perceptual quality degradation in alignment with human visual perception. Despite recent advances, existing VQA models still suffer from two critical limitations: poor generalization to out-of-distribution (OOD) videos and limited explainab

Cited by 0SourcePDFScholar
2025

3DGCQA: A Quality Assessment Database for 3D AI-Generated Contents

ICASSP 2025accepted

Although 3D generated content (3DGC) offers advantages in reducing production costs and accelerating design timelines, its quality often falls short when compared to 3D professionally generated content. Common quality issues frequently affect 3DGC, highlighting the importance of timely and effective…

Cited by 0SourceScholar
2025

Who is a Better Talker: Subjective and Objective Quality Assessment for AI-Generated Talking Heads

ICCV 2025poster

Speech-driven methods for portraits are figuratively known as "Talkers" because of their capability to synthesize speaking mouth shapes and facial movements. Especially with the rapid development of the Text-to-Image (T2I) models, AI-Generated Talking Heads (AGTHs) have gradually become an emerging…

2024

DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models

IJCAI 2024poster

Traditional image steganography focuses on concealing one image within another, aiming to avoid steganalysis by unauthorized entities. Coverless image steganography (CIS) enhances imperceptibility by not using any cover image. Recent works have utilized text prompts as keys in CIS through diffusion…

2024

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos

NeurIPS 2024spotlight

Assessing action quality is both imperative and challenging due to its significant impact on the quality of AI-generated videos, further complicated by the inherently ambiguous nature of actions within AI-generated video (AIGV). Current action quality assessment (AQA) algorithms predominantly focus…

2024

Text2QR: Harmonizing Aesthetic Customization and Scanning Robustness for Text-Guided QR Code Generation

CVPR 2024poster

In the digital era QR codes serve as a linchpin connecting virtual and physical realms. Their pervasive integration across various applications highlights the demand for aesthetically pleasing codes without compromised scannability. However prevailing methods grapple with the intrinsic challenge of…

2022

Learning Invisible Markers for Hidden Codes in Offline-to-Online Photography

CVPR 2022poster

QR (quick response) codes are widely used as an offline-to-online channel to convey information (e.g., links) from publicity materials (e.g., display and print) to mobile devices. However, QR Codes are not favorable for taking up valuable space of publicity materials. Recent works propose invisible…

Cited by 37PDFScholar