Media Summary: [CVPR 2026 Highlight] Towards Multimodal Domain Generalization with Few Labels How much do video diffusion models know about the 4D world? By introducing a 4D VAE, we jointly estimate Title: Scene-Centric Unsupervised Video Panoptic Segmentation Authors: Christoph Reich*, Oliver Hahn*, Nikita Araslanov, ...
Cvpr 2026 Generalizing Visual Geometry - Detailed Analysis & Overview
[CVPR 2026 Highlight] Towards Multimodal Domain Generalization with Few Labels How much do video diffusion models know about the 4D world? By introducing a 4D VAE, we jointly estimate Title: Scene-Centric Unsupervised Video Panoptic Segmentation Authors: Christoph Reich*, Oliver Hahn*, Nikita Araslanov, ... [CVPR 2026 Highlight] Visual-RRT: Finding Paths toward Visual-Goals via Differentiable Rendering Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. MERL researcher Pedro Miraldo presents the paper “Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling” at the ...
[CVPR 2026] OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in MLLMs Authors: Matteo Ballegeer, Dries F. Benoit Paper: Google Scholar: ... Chengxing Lin, Jinhong Deng, Yinjie Lei, Wen Li. "Deformation-based In-Context Learning for Point Cloud Understanding. Omni-Attribute encodes a high-fidelity, attribute-specific image representation, that enables coherent synthesis of the ... Hakyeong Kim, Ruicheng Wang, Chengtang Yao, Jiaolong Yang, Min H. Kim ( [CVPR 2026] VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction