Popular GitHub Repositories for Prior Covariance

[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution

[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

? CNN for Watermark Removal using Deep Image Prior with Pytorch ?.

[ICRA 2025] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

Code for deep generative prior (ECCV2020 oral)

The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.

Official Pytorch Implementation for "DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion" (AAAI 2024)

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020, TPAMI 2021)

Official Pytorch Implementation of "Diff-HierVC: Diffusion-based Hierarchical Voice Conversion with Robust Pitch Generation and Masked Prior for Zero-shot Speaker Adaptation"

[ECCV2024 Oral] Official implementation of the paper "Relation DETR: Exploring Explicit Position Relation Prior for Object Detection"

[CVPR 2022] Unsupervised Image-to-Image Translation with Generative Prior

GPstuff - Gaussian process models for Bayesian analysis

[NeurIPS 2024] NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Topological Semantic Graph Memory for Image Goal Navigation (CoRL 2022 oral)

[TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving

[NeurIPS 2022] Open source code for reusing prior computational work in RL.

[MICCAI'2024, Oral] Official implementation of BrLP method from "Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge"