Media Summary: R. Dabral, M. H. Mughal, V. Golyanik, C. Theobalt. MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis. LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation Paper: ... This is the official demo video of the paper "Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision", ...
Msmdfusion Cvpr 2023 - Detailed Analysis & Overview
R. Dabral, M. H. Mughal, V. Golyanik, C. Theobalt. MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis. LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation Paper: ... This is the official demo video of the paper "Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision", ... [CVPR 2026] PR-MaGIC: Prompt Refinement via Mask Decoder Gradient Flow for In-Context Segmentation MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality. Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detectionwith Event Cameras (CVPR 2025)
Registering point clouds of dressed humans to paramet- ric human models is a challenging task in computer vi- sion. Traditional ... GOR-IS presents a 3D Gaussian object removal framework that edits scenes in the intrinsic space, enabling physically consistent ...