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cs.CV2026

CamFlow+: Hybrid Motion Bases for 2D Camera Motion Estimation with Stabilization Applications

Haipeng Li, Zhen Liu, Zhanglei Yang +6

Estimating 2D camera motion is fundamental to computer vision and computational photography. Existing homography-based methods work well for planar scenes or pure rotation, but str…

cs.CV2026

ZeroIDIR: Zero-Reference Illumination Degradation Image Restoration with Perturbed Consistency Diffusion Models

Hai Jiang, Zhen Liu, Yinjie Lei +3

In this paper, we propose a zero-reference diffusion-based framework, named ZeroIDIR, for illumination degradation image restoration, which decouples the restoration process into a…

cs.CV2026

ExpoCM: Exposure-Aware One-Step Generative Single-Image HDR Reconstruction

Aoyu Liu, Zhen Liu, Ziyi Wang +3

Single-image HDR reconstruction aims to recover high dynamic range radiance from a single low dynamic range (LDR) input, but remains highly ill-posed due to detail saturation in ov…

cs.CV2026

RAW-Flow: Advancing RGB-to-RAW Image Reconstruction with Deterministic Latent Flow Matching

Zhen Liu, Diedong Feng, Hai Jiang +6

RGB-to-RAW reconstruction, or the reverse modeling of a camera Image Signal Processing (ISP) pipeline, aims to recover high-fidelity RAW data from RGB images. Despite notable progr…

cs.CV2025

AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Results

Chao Wang, Francesco Banterle, Bin Ren +25

This paper presents a comprehensive review of the AIM 2025 Challenge on Inverse Tone Mapping (ITM). The challenge aimed to push forward the development of effective ITM algorithms…