Shuhang Gu

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression CVPR 2026 Guiding a Diffusion Transformer with the Internal Dynamics of Itself CVPR 2026 IDESplat: Iterative Depth Probability Estimation for Generalizable 3D Gaussian Splatting CVPR 2026 iSplat: Iterative Learning for Fine-Grained Gaussian Splatting CVPR 2026 Taming Sampling Perturbations with Variance Expansion Loss for Latent Diffusion Models CVPR 2026 Task-Aware Image Signal Processor for Advanced Visual Perception CVPR 2026 Consistency Trajectory Matching for One-Step Generative Super-Resolution ICCV 2025 GeoDepth: From Point-to-Depth to Plane-to-Depth Modeling for Self-Supervised Monocular Depth Estimation CVPR 2025 Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations ICML 2025 Learned Image Compression with Dictionary-based Entropy Model CVPR 2025 Learning Pixel-adaptive Multi-layer Perceptrons for Real-time Image Enhancement ICCV 2025 PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Model ICCV 2025 Progressive Focused Transformer for Single Image Super-Resolution CVPR 2025 Robust Message Embedding via Attention Flow-Based Steganography CVPR 2025 Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model CVPR 2025 Causal Context Adjustment Loss for Learned Image Compression NeurIPS 2024 Improved Implicit Neural Representation with Fourier Reparameterized Training CVPR 2024 Stereo Risk: A Continuous Modeling Approach to Stereo Matching ICML 2024 Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary CVPR 2024 Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention CVPR 2024 Learning Motion Refinement for Unsupervised Face Animation NeurIPS 2023 Single Image Depth Prediction Made Better: A Multivariate Gaussian Take CVPR 2023 VA-DepthNet: A Variational Approach to Single Image Depth Prediction ICLR 2023 "Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks" ECCV 2022 Revisiting Random Channel Pruning for Neural Network Compression CVPR 2022 Flow-Based Kernel Prior With Application to Blind Super-Resolution CVPR 2021 The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures CVPR 2021 Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning WACV 2021 Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training CVPR 2021 DHP: Differentiable Meta Pruning via HyperNetworks ECCV 2020 Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression CVPR 2020 Improving Deep Video Compression by Resolution-adaptive Flow Coding ECCV 2020 Multi-Domain Learning for Accurate and Few-Shot Color Constancy CVPR 2020 Video Super-Resolution with Recurrent Structure-Detail Network ECCV 2020 Fast Image Restoration With Multi-Bin Trainable Linear Units ICCV 2019 Learning Filter Basis for Convolutional Neural Network Compression ICCV 2019 Self-Guided Network for Fast Image Denoising ICCV 2019 Learning Convolutional Networks for Content-Weighted Image Compression CVPR 2018 Video Rain Streak Removal by Multiscale Convolutional Sparse Coding CVPR 2018 Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation ICCV 2017 Learning Deep CNN Denoiser Prior for Image Restoration CVPR 2017 Learning Dynamic Guidance for Depth Image Enhancement CVPR 2017 Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection CVPR 2016 Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization CVPR 2016 Convolutional Sparse Coding for Image Super-Resolution ICCV 2015 Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution CVPR 2015 Projective dictionary pair learning for pattern classification NeurIPS 2014 Weighted Nuclear Norm Minimization with Application to Image Denoising CVPR 2014