Media Summary: Abstract: Multi-modal 3D object understanding has gained significant attention, yet current approaches often rely on rigid ... DTGBrepGen is a novel framework that sequentially generates topologically valid and geometrically high-quality B-rep models. This is an oral presentation for the paper "Hierarchical Point-Patch Fusion with Adaptive Patch Codebook for 3D Shape Anomaly ...

Cvpr 2025 Partgen Part Level - Detailed Analysis & Overview

Abstract: Multi-modal 3D object understanding has gained significant attention, yet current approaches often rely on rigid ... DTGBrepGen is a novel framework that sequentially generates topologically valid and geometrically high-quality B-rep models. This is an oral presentation for the paper "Hierarchical Point-Patch Fusion with Adaptive Patch Codebook for 3D Shape Anomaly ... In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2026. Authors: Yunxiang Peng, Mengmeng ... Reinforcement Learning (RL) has achieved remarkable success in various domains, yet it often relies on carefully designed ... [CVPR 2026] VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction

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[CVPR 2025] PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models
[CVPR 2025, Highlight] CrossOver: 3D Scene Cross-Modal Alignment
[CVPR 2025] Reloc3r
CVPR 2025: WonderWorld: Interactive 3D Scene Generation from a Single Image
DTGBrepGen (CVPR 2025)
[CVPR 2025] Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting
CVPR 2026: Spectral Scalpel for Skeleton-Based Action Segmentation
[CVPR 2025] 🍳 PanSplat (Full video)
[CVPR 2026 Highlight] UniPart: Part-Level 3D Generation with Unified 3D Geom-Seg Latents
CVPR2026 Hierarchical Point-Patch Fusion with Adaptive Patch Codebook for 3D Shape Anomaly Detection
CVPR 2025: GAF: Gaussian Avatar Reconstruction from Monocular Videos via Multi-view Diffusion
CVPR 2025 Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels
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