Yulun Zhang

76

Papers

142

Total Citations

1

Affiliations

Affiliations

Carnegie Mellon University

Papers (76)

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

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

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

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

Lightweight Image Super-Resolution via Flexible Meta Pruning

Residual Dense Network for Image Super-Resolution

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution

Adversarial Feature Hallucination Networks for Few-Shot Learning

MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network

Pseudo 3D Auto-Correlation Network for Real Image Denoising

HDNet: High-Resolution Dual-Domain Learning for Spectral Compressive Imaging

Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction

Texture-Based Error Analysis for Image Super-Resolution

LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising

Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising

Structured Sparsity Learning for Efficient Video Super-Resolution

CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion

Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution

Attention Bridging Network for Knowledge Transfer

Visual Semantic Reasoning for Image-Text Matching

Multimodal Style Transfer via Graph Cuts

Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution

Context Reasoning Attention Network for Image Super-Resolution

ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation

Dual Aggregation Transformer for Image Super-Resolution

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution

Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion

DiffIR: Efficient Diffusion Model for Image Restoration

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction

Alignment-free HDR Deghosting with Semantics Consistent Transformer

Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement

Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution

Texture Hallucination for Large-Factor Painting Super-Resolution

LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

Reference-Based Image Super-Resolution with Deformable Attention Transformer

Towards Interpretable Video Super-Resolution via Alternating Optimization

Modeling Mask Uncertainty in Hyperspectral Image Reconstruction

Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images

MuRF: Multi-Baseline Radiance Fields

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

OSDFace: One-Step Diffusion Model for Face Restoration

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

Neural Sparse Representation for Image Restoration

Aligned Structured Sparsity Learning for Efficient Image Super-Resolution

Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training

Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation

Cross Aggregation Transformer for Image Restoration

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping

Binarized Spectral Compressive Imaging

QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution

Arbitrarily Scalable Environment Generators via Neural Cellular Automata