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cs.CV2026

RGFVR: Reference-Guided Face Video Restoration with Flow Matching

Cem Eteke, Batuhan Tosun, Eckehard Steinbach

Face video restoration from degraded observations is challenging, as it requires simultaneously recovering visual fidelity, temporal consistency, and subject identity. Existing app…

cs.CV2026

A Causal Diffusion Model for Video Reconstruction from Ultra-Low-Bitrate Representations

Cem Eteke, Batuhan Tosun, Martin Piccolrovazzi +3

We study video reconstruction from ultra-low-bitrate representations, where the primary challenge shifts from encoding to decoding. In this regime, reconstruction with classical an…

cs.CV2026

Nix and Fix: Targeting 1000x Compression of 3D Gaussian Splatting with Diffusion Models

Cem Eteke, Enzo Tartaglione

3D Gaussian Splatting (3DGS) revolutionized novel view rendering. Instead of inferring from dense spatial points, as implicit representations do, 3DGS uses sparse Gaussians. This e…

cs.CV2025

BIR-Adapter: A parameter-efficient diffusion adapter for blind image restoration

Cem Eteke, Alexander Griessel, Wolfgang Kellerer +1

We introduce the BIR-Adapter, a parameter-efficient diffusion adapter for blind image restoration. Diffusion-based restoration methods have demonstrated promising performance in ad…

cs.CV2024

LEMON: Localized Editing with Mesh Optimization and Neural Shaders

Furkan Mert Algan, Umut Yazgan, Driton Salihu +2

In practical use cases, polygonal mesh editing can be faster than generating new ones, but it can still be challenging and time-consuming for users. Existing solutions for this pro…