conftrace_

inverse problem

240 papers

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Co-occurring keywords

image reconstruction (671) image restoration (1517) diffusion model (3751) generative model (2892) computed tomography (119) bayesian inference (1907) posterior sampling (152) unsupervised learning (3264) partial differential equation (222) image denoising (372)

Papers

Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025
Structure from Collision CVPR 2025
Robust Unfolding Network for HDR Imaging with Modulo Cameras ICCV 2025
FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems ICCV 2025
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems AAAI 2025
EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-Maximization AAAI 2025
Inverse 3D Microscopy Rendering for Cell Shape Inference with Active Mesh ICCV 2025
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching JMLR 2025
CharDiff: Improving Sampling Convergence via Characteristic Function Consistency in Diffusion Models WACV 2025
FlowChef: Steering of Rectified Flow Models for Controlled Generations ICCV 2025
Training-Free Medical Image Inverses via Bi-Level Guided Diffusion Models WACV 2025
FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems CVPR 2025
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing CVPR 2025
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models ICCV 2025
Jackpot: Approximating Uncertainty Domains with Adversarial Manifolds JMLR 2025
Augmenting Perceptual Super-Resolution via Image Quality Predictors CVPR 2025
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction CVPR 2024
Provable Posterior Sampling with Denoising Oracles via Tilted Transport NIPS 2024
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform NIPS 2024
Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems NIPS 2024
A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction NIPS 2024
Image Neural Field Diffusion Models CVPR 2024
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics NIPS 2024