arXiv (All)
open access
SEE Challenge 2026: Event-Guided Brightness Adjustment Across a Broad Illumination Range
Event cameras provide a high dynamic range and preserve brightness-change cues in lighting conditions where conventional RGB frames may be noisy or saturated. To benchmark event-guided restoration across a broad illumination range, we organized the SEE Challenge 2026 with the Event-Based Multimodal
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- UniE2F: A Unified Diffusion Framework for Event-to-Frame Reconstruction with Video Foundation Models#1084142
- Hyper-RED: Scalable Event Pre-training via Semantic Hypergraph Distillation#1122809
- Seeing Events in 3D Enhances Scene Memory and Vividness#434917
- Dual Representation-based Light Field View Synthesis using Deformable Convolutional and Deep Residual Channel Attention Networks#20843
- BLUE: Toward Better Language Use in Efficient Vision-Language-Action Models for Autonomous Driving#793721
Record · ID 1077276
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive