Search Results for author:
Found 8 papers, 2 papers with code
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
In this study, we propose AniPortrait, a novel framework for generating high-quality animation driven by audio and a reference portrait image.
ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment
The embeddings are subsequently integrated into the facial animation generator to yield expressive and controllable facial animations.
XFormer: Fast and Accurate Monocular 3D Body Capture
We present XFormer, a novel human mesh and motion capture method that achieves real-time performance on consumer CPUs given only monocular images as input.
Ranked #31 on
3D Human Pose Estimation
on 3DPW
Human MotionFormer: Transferring Human Motions with Vision Transformers
In this paper, we propose Human MotionFormer, a hierarchical ViT framework that leverages global and local perceptions to capture large and subtle motion matching, respectively.
Semi-supervised Speech-driven 3D Facial Animation via Cross-modal Encoding
The former jointly learns a common representation space from speech and image domains, enabling the transformation of speech into semantically-consistent facial images.
Balanced Alignment for Face Recognition: A Joint Learning Approach
There lacks an understanding of how important face alignment is and how it should be performed, for recognition.
3D Dense Face Alignment via Graph Convolution Networks
Recently, 3D face reconstruction and face alignment tasks are gradually combined into one task: 3D dense face alignment.
Multiple Granularity Group Interaction Prediction
Most human activity analysis works (i. e., recognition orãprediction) only focus on a single granularity, i. e., eitherãmodelling global motion based on the coarse level movement such as human trajectories orãforecasting future detailed action based on body partsâ movement such as skeleton motion.
