TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
Published in arxiv, 2023
We propose a novel task for generating 3D dance movements that simultaneously incorporate both text and music modalities.
Published in arxiv, 2023
We propose a novel task for generating 3D dance movements that simultaneously incorporate both text and music modalities.
Published in CVPR 2023, 2023
A novel geometry-guided 3D head synthesis model trained from in-the-wild unstructured images that is capable of synthesizing diverse identity-preserved 3D heads with compelling dynamic details under full disentangled control over camera poses, facial expressions, head shapes, articulated neck and jaw poses.
Published in arxiv, 2023
Introduce a novel framework to produce 3D artistically appealing and personalized portraits with detailed geometry.
Published in ECCV Workshop, 2022
Introduce a novel pipeline for controllable 3D human avatar generation.
Published in CVPR, 2022
Introduce a novel decorrelation based method for better class incremental learning.
Published in arxiv, 2021
Introduce a new outlooker module and VOLO model for vision recognition tasks.
Published in TPAMI, 2021
Introduce a new vision permutator module and ViP model for ImageNet classification tasks.
Published in NeurIPS, 2021
Introduce a new token labeling objective for training better vision transformers.
Published in arxiv, 2021
Introduce a novel strategy to train deep vision transformer models and provide some insights.
Published in ICCV, 2021
Introduce T2T-ViT for ImageNet classification.
Published in NeurIPS, 2020
Introduce a novel span-based dynamic convolution module to model local attention and help improve the performance of pre-training based language models.
Published in ICLR, 2020
Introduce a new reading comprehension dataset requiring logical reasoning.
Published in CVPR, 2019
Introduce a disentangled representation learning framework for 3D face shape.
Published in IEEE-TMM, 2019
Introduce a 3d face reconstruction framework assisted by 2d face images in the wild.