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20232026
most citedTowards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis

2 citations · 2 across the 10 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

UltraDiff: Transferring High-Fidelity Priors to Compressed Latent Spaces for High-Resolution Image Generation

Jingjing Ren, Haitian Zheng, Haoyu Chen +5

High-resolution synthesis with Latent Diffusion Models (LDMs) faces a fundamental trade-off between computational cost and generative fidelity. This trade off is largely governed b…

cs.CV2026

Rarity-Aware Discrete Diffusion with Spatially Consistent Decoding for Photo-Realistic Image Super-Resolution

Ao Li, Yapeng Du, Yi Xin +5

Continuous diffusion models have become the dominant paradigm for photo-realistic image Super-Resolution (SR), but they typically formulate reconstruction as continuous signal-leve…

cs.CV2026

How Long Can Unified Multimodal Models Generate Images Reliably? Taming Long-Horizon Interleaved Image Generation via Context Curation

Haoyu Chen, Qing Liu, Yuqian Zhou +7

Unified multimodal models hold the promise of generating extensive, interleaved narratives, weaving text and imagery into coherent long-form stories. However, current systems suffe…

cs.CV2025

PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist Agents

Haoyu Chen, Keda Tao, Yizao Wang +3

Photo retouching is integral to photographic art, extending far beyond simple technical fixes to heighten emotional expression and narrative depth. While artists leverage expertise…

cs.CV2025

Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis

Jingjing Ren, Wenbo Li, Zhongdao Wang +9

Demand for 2K video synthesis is rising with increasing consumer expectations for ultra-clear visuals. While diffusion transformers (DiTs) have demonstrated remarkable capabilities…

cs.CV2024

Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization

Hongtao Wu, Yijun Yang, Angelica I Aviles-Rivero +4

Snow degradations present formidable challenges to the advancement of computer vision tasks by the undesirable corruption in outdoor scenarios. While current deep learning-based de…

cs.CV2024

RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models

Haoyu Chen, Wenbo Li, Jinjin Gu +7

Natural images captured by mobile devices often suffer from multiple types of degradation, such as noise, blur, and low light. Traditional image restoration methods require manual…

cs.CV2024

UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks

Jingjing Ren, Wenbo Li, Haoyu Chen +6

Ultra-high-resolution image generation poses great challenges, such as increased semantic planning complexity and detail synthesis difficulties, alongside substantial training reso…

cs.CV2023★ 2 cited

Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis

Jingjing Ren, Cheng Xu, Haoyu Chen +2

Recent progress in multi-modal conditioned face synthesis has enabled the creation of visually striking and accurately aligned facial images. Yet, current methods still face issues…