AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
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.
KaiNinja, a part-level extension of TRELLIS.2 built on a dual-volume form of its O-Voxel representation, is the first 3D generative model trained on agent-authored part data and finds that whole-object fidelity improves over the same backbone fine-tuned on the same dataset.
TGRHuman, a novel approach for generating realistic 3D humans from text that decouples geometry and texture generation to alleviate the issues commonly encountered in NeRF-based methods, outperforms existing text-to-3D human methods in both geometry and texture quality.
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...
AnimateAnyMesh++ is presented, a feed-forward framework for text-driven animation of arbitrary 3D meshes with substantial upgrades in data, architecture, and generative capability, and demonstrates that AnimateAnyMesh++ generates semantically accurate and tem porally coherent mesh animations within seconds, surpassing...
Luce is proposed, a 3D representation that unifies geometry and PBR materials within a voxelized multimodal Gaussian cloud, using dedicated Gaussian primitives for albedo, metallic-roughness, and surface normals to achieve state-of-the-art single-image-to-3D generation.
Virtual try-on is a challenging task that seeks to create realistic images of individuals wearing specific garments and has significant applications in e-commerce and virtual fashion. Existing approaches have made considerable advancements but come with large memory requirements and fail to preserve subtle garment deta...
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