6 citations · 18 across the 11 of their papers we have counts for
12 papers
SpatialAvatar-0: High-Quality 4D Head Avatar with Multi-Stage Reconstruction
Yiran Wang, Zeyu Zhang, Yuanming Li +2
High-quality 4D head avatars from one or a few source portraits are central to telepresence, AR/VR, and digital-human interaction. 3D Gaussian Splatting (3DGS) has emerged as the d…
Avatar V: Scaling Video-Reference Avatar Video Generation
Benjamin Liang, Ce Chen, Desmond Lin +20
Generating avatar videos that are not merely visually similar to a target individual but behaviorally recognizable, faithfully reproducing their talking rhythm, gestural tendencies…
See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding
Boyuan Sun, Bowen Yin, Yuanming Li +2
We present SWIM (See What I Mean), a novel training strategy that aligns vision and language representations to enable fine-grained object understanding solely from textual prompts…
Generate Your Talking Avatar from Video Reference
Zujin Guo, Zhenhui Ye, Yi Ren +4
Existing talking avatar methods typically adopt an image-to-video pipeline conditioned on a static reference image within the same scene as the target generation. This restricted,…
TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions
Ce Chen, Yi Ren, Yuanming Li +5
Traditional Shot Boundary Detection (SBD) inherently struggles with complex transitions by formulating the task around isolated cut points, frequently yielding corrupted video shot…
Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model
Yuanming Li, Gwantae Kim, Jeong-gi Kwak +2
Recently, deep learning-based facial landmark detection for in-the-wild faces has achieved significant improvement. However, there are still challenges in face landmark detection i…
DIFAI: Diverse Facial Inpainting using StyleGAN Inversion
Dongsik Yoon, Jeong-gi Kwak, Yuanming Li +2
Image inpainting is an old problem in computer vision that restores occluded regions and completes damaged images. In the case of facial image inpainting, most of the methods gener…
Reference Guided Image Inpainting using Facial Attributes
Dongsik Yoon, Jeonggi Kwak, Yuanming Li +3
Image inpainting is a technique of completing missing pixels such as occluded region restoration, distracting objects removal, and facial completion. Among these inpainting tasks,…
Controllable Face Manipulation and UV Map Generation by Self-supervised Learning
Yuanming Li, Jeong-gi Kwak, David Han +1
Although manipulating facial attributes by Generative Adversarial Networks (GANs) has been remarkably successful recently, there are still some challenges in explicit control of fe…
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis
Jeong-gi Kwak, Yuanming Li, Dongsik Yoon +3
Over the years, 2D GANs have achieved great successes in photorealistic portrait generation. However, they lack 3D understanding in the generation process, thus they suffer from mu…
Generate and Edit Your Own Character in a Canonical View
Jeong-gi Kwak, Yuanming Li, Dongsik Yoon +2
Recently, synthesizing personalized characters from a single user-given portrait has received remarkable attention as a drastic popularization of social media and the metaverse. Th…
Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN
Jeong-gi Kwak, Youngsaeng Jin, Yuanming Li +3
Adverse weather image translation belongs to the unsupervised image-to-image (I2I) translation task which aims to transfer adverse condition domain (eg, rainy night) to standard do…