Yulun Zhang

28

Papers

142

Total Citations

1

Affiliations

Affiliations

Carnegie Mellon University

Papers (28)

RUN: Reversible Unfolding Network for Concealed Object Segmentation

Deep Equilibrium Diffusion Restoration with Parallel Sampling

Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing

Low-Light Image Enhancement via Generative Perceptual Priors

Binarized Low-light Raw Video Enhancement

Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging

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

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

Online Guidance Graph Optimization for Lifelong Multi-Agent Path Finding

A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking

Hierarchical Separable Video Transformer for Snapshot Compressive Imaging

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

See More Details: Efficient Image Super-Resolution by Experts Mining

Image Fusion via Vision-Language Model

Flexible Residual Binarization for Image Super-Resolution

OSDFace: One-Step Diffusion Model for Face Restoration

Lightweight Image Super-Resolution via Flexible Meta Pruning

MambaIRv2: Attentive State Space Restoration

Complexity Experts are Task-Discriminative Learners for Any Image Restoration

Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging

DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables

PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution

HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance

Dual-branch Graph Feature Learning for NLOS Imaging

LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation

Equivariant Multi-Modality Image Fusion

MuRF: Multi-Baseline Radiance Fields

Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal