AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
Extensive experiments demonstrate that the proposed Multimodal Triplane Diffusion Transformer achieves not only superior generalization capability but also significantly enhanced geometric alignment with input images compared to state-of-the-art approaches in the image-to-3D task.
This work develops a data construction agent to create high-frequency textured 3D assets to bridge the data gap in public datasets and proposes a diffusion-based native 3D material generation model TaoTex, which faithfully recovers intricate textures through tailored strategies and improvements.
Experimental results show that Diffusion-SDF is capable of generating both high-quality and highly diversified 3D shapes that conform well to the given text descriptions, and Diffusion-SDF++ further outperforms Diffusion-SDF with more precise shape details due to the adaptive voxelization strategy.
This work introduces a few-step distillation framework for native 3D generation, enabled by continuous self-consistency training with a custom JVP FlashAttention kernel and an analytic velocity regression objective for sparse structured 3D latents.
NoFACE3D, a training-free framework that refines these detail-critical regions while preserving the rest of the asset, is introduced and evaluated on PAniC-3D, TexVerse and BigDetail, a new benchmark of 339 assets with annotated detail-critical regions.
3D content generation technology has significantly advanced the work of designers, as well as the 3D printing and gaming industries. However, it remains difficult to produce lightweight, editable, and topologically clean artistic content that is directly production-ready. To achieve this, we present TaoFlowForge, an ar...
We present a method for generating high quality materials for 3D objects entirely in texture space. We finetune a video diffusion transformer for text-guided material generation, multi-view material generation, and material upscaling. Our key insight is to use the known projection from image space to texture space, ena...
A Blog post by NVIDIA on Hugging Face
Data Mining & Modeling
A Blog post by Ai2 on Hugging Face
A Blog post by IBM Research on Hugging Face
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