ICCV

Geo-NVS-w: Geometry-Aware Novel View Synthesis In-the-Wild with an SDF Renderer

Geo-NVS-w：基于SDF渲染器的野外几何感知新视角合成

Anastasios Tsalakopoulos, Angelos Kanlis, Evangelos Chatzis, Antonis Karakottas, Dimitrios Zarpalas

机构 * Centre for Research and Technology Hellas (CERTH)（希腊研究中心与技术中心） 纠错

AI总结 Geo-NVS-w通过SDF渲染器实现野外高保真新视角合成，采用几何保持损失提升细节精度，显著降低能耗。

Comments Presented at the ICCV 2025 Workshop on Large Scale Cross Device Localization

Your Super Resolution Model is not Enough for Tackling Real-World Scenarios

你的超分辨率模型不足以应对真实场景

Dongsik Yoon, Jongeun Kim

机构 * HDC LABS（HDC实验室） 纠错

AI总结 本文提出SAAM模块，通过轻量级特征提取和注意力机制，提升超分辨率模型在多种缩放因子下的泛化能力，实现高效且鲁棒的多尺度上采样。

Comments To appear in the Workshop on Efficient Computing under Limited Resources: Visual Computing (ECLR) at ICCV 2025