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20242026
most citedCross-view Masked Diffusion Transformers for Person Image Synthesis

1 citations · 1 across the 8 of their papers we have counts for

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8 papers

cs.CV2026

Unleashing the Power of Text: Text-Guided Flow Matching for Image Fusion under Complex Degradations

Axi Niu, Jieheng Li, Kang Zhang +3

Infrared-visible image fusion under realistic degradation scenarios is a challenging task, as degradations not only cause a loss of reliable modality-specific information in observ…

cs.MM2026

Cinematic Audio Source Separation Using Visual Cues

Kang Zhang, Suyeon Lee, Arda Senocak +1

Cinematic Audio Source Separation (CASS) aims to decompose mixed film audio into speech, music, and sound effects, enabling applications like dubbing and remastering. Existing CASS…

cs.CV2026

DualTSR: Unified Dual-Diffusion Transformer for Scene Text Image Super-Resolution

Axi Niu, Kang Zhang, Qingsen Yan +3

Scene Text Image Super-Resolution (STISR) aims to restore high-resolution details in low-resolution text images, which is crucial for both human readability and machine recognition…

cs.CV2026

CLIP-Map: Structured Matrix Mapping for Parameter-Efficient CLIP Compression

Kangjie Zhang, Wenxuan Huang, Xin Zhou +9

Contrastive Language-Image Pre-training (CLIP) has achieved widely applications in various computer vision tasks, e.g., text-to-image generation, Image-Text retrieval and Image cap…

cs.SD2025

Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation

Kang Zhang, Trung X. Pham, Suyeon Lee +3

We present MGAudio, a novel flow-based framework for open-domain video-to-audio generation, which introduces model-guided dual-role alignment as a central design principle. Unlike…

cs.LG2024

Physics Informed Distillation for Diffusion Models

Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon +3

Diffusion models have recently emerged as a potent tool in generative modeling. However, their inherent iterative nature often results in sluggish image generation due to the requi…

cs.AI2024

BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation

Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee +4

Multimodal Dialogue Response Generation (MDRG) is a recently proposed task where the model needs to generate responses in texts, images, or a blend of both based on the dialogue co…

cs.CV2024★ 1 cited

Cross-view Masked Diffusion Transformers for Person Image Synthesis

Trung X. Pham, Zhang Kang, Chang D. Yoo

We present X-MDPT (-view asked iffusion rediction ransformers), a novel diffusion model designed for…