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Found 7 papers, 2 papers with code
Optimizing Diffusion Noise Can Serve As Universal Motion Priors
We propose Diffusion Noise Optimization (DNO), a new method that effectively leverages existing motion diffusion models as motion priors for a wide range of motion-related tasks.
Guided Motion Diffusion for Controllable Human Motion Synthesis
Denoising diffusion models have shown great promise in human motion synthesis conditioned on natural language descriptions.
HARP: Personalized Hand Reconstruction from a Monocular RGB Video
We present HARP (HAnd Reconstruction and Personalization), a personalized hand avatar creation approach that takes a short monocular RGB video of a human hand as input and reconstructs a faithful hand avatar exhibiting a high-fidelity appearance and geometry.
A Skeleton-Driven Neural Occupancy Representation for Articulated Hands
We present Hand ArticuLated Occupancy (HALO), a novel representation of articulated hands that bridges the advantages of 3D keypoints and neural implicit surfaces and can be used in end-to-end trainable architectures.
Grasping Field: Learning Implicit Representations for Human Grasps
Specifically, our generative model is able to synthesize high-quality human grasps, given only on a 3D object point cloud.
Reducing Spelling Inconsistencies in Code-Switching ASR using Contextualized CTC Loss
Code-Switching (CS) remains a challenge for Automatic Speech Recognition (ASR), especially character-based models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing Framework
Typical analyses of mass spectrometry data only identify amino acid sequences that exist in reference databases.
