Abstract: Recently, learning signed distance functions (SDFs) from point clouds has become popular for reconstruction. To ensure accuracy, most methods require using high-resolution Marching Cubes for ...
Strong performance. SS-HMR achieves state-of-the-art performance on SURREAL, BEHAVE, SLOPER4D datasets. 💪 More friendly. SS-HMR can train all models on less 24G GPU memory (i.e., RTX 3090 are enough ...
OctopusEffects, #Blender Make clouds with lightning around in a cartoon style. The project is done on Blender 3.2. Use ...
Julius Perdana on MSN
C-130 3D model timelapse: From Blender to RC plane
Watch the full timelapse of modelling a detailed C-130 in Blender, perfect for creating your own RC plane. See every step from base mesh to final model in a smooth, fast-paced workflow. #Blender3D #RC ...
Abstract: Diffusion-based generative models have achieved remarkable success in image restoration by learning to iteratively refine noisy data toward clean signals. Inspired by this progress, recent ...
Official implementation of 'UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis'. The paper has been accepted by ICCV 2025. Pre-trained point cloud analysis models have shown promising ...
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