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Found 4 papers, 0 papers with code
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation
First, we introduce a hyperbolic text-image encoder to learn the sequential and multi-modal hierarchical features of text in hyperbolic space.
D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction
Second, we introduce a dual-stream denoiser to semantically and geometrically model hand-object interactions with a novel unified hand-object semantic embedding, enhancing the reconstruction performance of the hand-occluded region of the object.
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
Text-driven human motion generation in computer vision is both significant and challenging.
Ranked #13 on
Motion Synthesis
on KIT Motion-Language
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction
In this work, we propose the first precise hand-object reconstruction method in hyperbolic space, namely Dynamic Hyperbolic Attention Network (DHANet), which leverages intrinsic properties of hyperbolic space to learn representative features.
