Yong Guo

Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models

Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment

CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution

Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution

VividFace: High-Quality and Efficient One-Step Diffusion For Video Face Enhancement

Asymmetric VAE for One-Step Video Super-Resolution Acceleration

Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution

RDDM: Practicing RAW Domain Diffusion Model for Real-world Image Restoration

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement

PocketSR: The Super-Resolution Expert in Your Pocket Mobiles

DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution

Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator

OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates

Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher

One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation

Low-bit Quantization for Seeing in the Dark

BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution

Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution

Haste Makes Waste: Teaching Image Restoration to Learn Distributions from Pixels to Patterns

Text Boosts Generalization: A Plug-and-Play Captioner for Real-World Image Restoration

Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution