Jinyang Zhang
About Me
I am an algorithm engineer focused on AIGC systems that connect research models with deployable workflows, with experience across speech-driven facial generation, digital human synthesis, face restoration, ComfyUI restoration workflows, and practical tools for model development and daily execution. I am currently seeking new opportunities where I can continue building reliable generative AI systems from research prototypes to usable products.
Projects
All projects-
EfficientTime 05/2026 · Local-first AI daily planning assistantA local-first macOS productivity app for turning rough task notes into editable daily schedules. It keeps the current task visible and supports local reminders plus AI-assisted planning drafts.
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3d-viewers 05/2026 · Browser viewers for 3D vision and digital-human modelsLightweight browser-based viewers for inspecting 3D vision and digital-human assets. It covers FLAME, parametric models, Gaussian avatars, topology, joints, bindings, and motion before fitting or training.
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IConFace 05/2026 · Unified reference-aware face restorationA unified reference-aware and no-reference face restoration framework. It uses identity-structure asymmetric conditioning so one checkpoint can exploit same-identity references when available and fall back to degraded-only restoration when references are absent.
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ComfyUI-Flux-FaceIR 04/2026 · Face restoration workflow for ComfyUIA ComfyUI extension for aligned face restoration and full-image restoration. It supports face detection, alignment, parameter export, restoration, and paste-back so the model can be used inside visual node workflows.
Publications
All publications-
IConFace: Identity-Structure Asymmetric Conditioning for Unified Reference-Aware Face Restoration arXiv preprint arXiv:2605.02814 · 2026A unified reference-aware and no-reference face restoration framework that uses reliability-weighted identity anchors and degraded-image spatial structure anchors in one checkpoint.
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The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results arXiv preprint arXiv:2604.10532v2 / CVPR 2026 Workshop · 2026NTIRE 2026 real-world face restoration challenge report covering task design, weighted IQA evaluation, identity checking, submitted methods, and final rankings.
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Learning Discriminative Compact Representation for Hyperspectral Imagery Classification IEEE Transactions on Geoscience and Remote Sensing (TGRS) · 2019A multi-task deep network for hyperspectral image classification that jointly learns compact spectral representation, reconstruction, and pixelwise classification.
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Improving Hyperspectral Image Classification with Unsupervised Knowledge Learning (IGARSS) IEEE International Geoscience and Remote Sensing Symposium · 2019Unsupervised knowledge learning for hyperspectral image classification, injecting clustering structure into supervised learning to improve generalization.