Media Summary: Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. Paper: Project Page: Authors/Affiliations: [Seungho ... Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei ...

Cvpr 2026 One Patch To - Detailed Analysis & Overview

Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. Paper: Project Page: Authors/Affiliations: [Seungho ... Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei ... In this video, we introduce a novel video object detection framework called D2FANet. D2FANet is the first framework to jointly ... How much do video diffusion models know about the 4D world? By introducing a 4D VAE, we jointly estimate geometry and ... Paper: Project Page: Authors/Affiliations: [Sangwoon ...

This video presents GHPT, a novel framework for real-time relightable Gaussian Splatting using hybrid path tracing. Project Page: ... [CVPR 2026 Highlight] Visual-RRT: Finding Paths toward Visual-Goals via Differentiable Rendering Paper: Bootstrapping Multi-view Learning for Test-time Noisy Correspondence Authors: Changhao He, Di Xue, Shuxian Li, Yanji ... [CVPR 2026]SFR-Net: Steering-Fusion-Refining Network in Multi-label Zero-Shot Sewer Defect Detection Hyun Lee, Hyemin Jeong, Yejin Kim, Hyungwook Choi, Hyunsoo Cho, Soo Kyung Kim, Joonseok Lee. A More Word-like Image ... Video2Robo: 3DGS-based Synthetic Data from

Title: Enhancing Hands in 3D Whole-Body Pose Estimation with Conditional Hands ModulatorWebsite: ... [CVPR 2026] VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction

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[CVPR 2026] One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework
[CVPR 2026]
[CVPR 2026] FRAMER
[CVPR 2026] CarlaOcc
[CVPR 2026] VAD-GS
CVPR 2026 paper  |   UniT: Unified Multimodal Chain-of-Thought Test-time Scaling
CVPR 2026 Poster Presentation
CVPR 2026 UAST
[CVPR 2026] MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly Detection
[CVPR 2026] Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction
[CVPR 2026] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE
[CVPR 2026 Highlight] MoRel
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[CVPR 2026] One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework

[CVPR 2026] One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework

Short overview of our

[CVPR 2026]

[CVPR 2026]

Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement.

[CVPR 2026] FRAMER

[CVPR 2026] FRAMER

Paper: https://arxiv.org/abs/2512.01390 Project Page: https://cmlab-korea.github.io/FRAMER/ Authors/Affiliations: [Seungho ...

[CVPR 2026] CarlaOcc

[CVPR 2026] CarlaOcc

CVPR 2026

[CVPR 2026] VAD-GS

[CVPR 2026] VAD-GS

CVPR 2026

CVPR 2026 paper  |   UniT: Unified Multimodal Chain-of-Thought Test-time Scaling

CVPR 2026 paper | UniT: Unified Multimodal Chain-of-Thought Test-time Scaling

Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei ...

CVPR 2026 Poster Presentation

CVPR 2026 Poster Presentation

In this video, we introduce a novel video object detection framework called D2FANet. D2FANet is the first framework to jointly ...

CVPR 2026 UAST

CVPR 2026 UAST

CVPR 2026

[CVPR 2026] MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly Detection

[CVPR 2026] MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly Detection

Video Presentation of our

[CVPR 2026] Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction

[CVPR 2026] Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction

Poster Presentation

[CVPR 2026] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

[CVPR 2026] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

How much do video diffusion models know about the 4D world? By introducing a 4D VAE, we jointly estimate geometry and ...

[CVPR 2026 Highlight] MoRel

[CVPR 2026 Highlight] MoRel

Paper: https://arxiv.org/abs/2512.09270 Project Page: https://cmlab-korea.github.io/MoRel Authors/Affiliations: [Sangwoon ...

[CVPR 2026] GHPT

[CVPR 2026] GHPT

This video presents GHPT, a novel framework for real-time relightable Gaussian Splatting using hybrid path tracing. Project Page: ...

[CVPR 2026 Highlight] Visual-RRT: Finding Paths toward Visual-Goals via Differentiable Rendering

[CVPR 2026 Highlight] Visual-RRT: Finding Paths toward Visual-Goals via Differentiable Rendering

[CVPR 2026 Highlight] Visual-RRT: Finding Paths toward Visual-Goals via Differentiable Rendering

[CVPR 2026] Bootstrapping Multi-view Learning for Test-time Noisy Correspondence

[CVPR 2026] Bootstrapping Multi-view Learning for Test-time Noisy Correspondence

Paper: Bootstrapping Multi-view Learning for Test-time Noisy Correspondence Authors: Changhao He, Di Xue, Shuxian Li, Yanji ...

[CVPR 2026]SFR-Net: Steering-Fusion-Refining Network in Multi-label Zero-Shot Sewer Defect Detection

[CVPR 2026]SFR-Net: Steering-Fusion-Refining Network in Multi-label Zero-Shot Sewer Defect Detection

[CVPR 2026]SFR-Net: Steering-Fusion-Refining Network in Multi-label Zero-Shot Sewer Defect Detection

[CVPR 2026] A More Word-like Image Tokenization for MLLMs

[CVPR 2026] A More Word-like Image Tokenization for MLLMs

Hyun Lee, Hyemin Jeong, Yejin Kim, Hyungwook Choi, Hyunsoo Cho, Soo Kyung Kim, Joonseok Lee. A More Word-like Image ...

[CVPR 2026] Video2Robo

[CVPR 2026] Video2Robo

Video2Robo: 3DGS-based Synthetic Data from

Hand4Whole++ (CVPR 2026)

Hand4Whole++ (CVPR 2026)

Title: Enhancing Hands in 3D Whole-Body Pose Estimation with Conditional Hands ModulatorWebsite: ...

[CVPR 2026] VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction

[CVPR 2026] VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction

[CVPR 2026] VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction