activity
20242026
most citedToward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots

1 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2026

Proxy Avatar Meets Low-Rank Caching: Real-Time One-Shot Emotion-Controllable Portrait Animation

Haijie Yang, Jindi Bao, Yixuan Dong +6

Audio-driven portrait animation has advanced rapidly with diffusion-based generative models, yet real-time one-shot generation with expressive emotion control remains challenging.…

cs.CV2026

GaussianEmoTalker: Real-Time Emotional Talking Head Synthesis with Audio-Driven and Blendshape-Based 3D Gaussian Splatting

Haijie Yang, Zhenyu Zhang, Yixuan Dong +2

Audio-driven talking head synthesis has achieved impressive progress in lip synchronization and visual quality, yet generating expressive emotional avatars with controllable intens…

cs.CV2025

Spatial-Temporal Graph Mamba for Music-Guided Dance Video Synthesis

Hao Tang, Ling Shao, Zhenyu Zhang +2

We propose a novel spatial-temporal graph Mamba (STG-Mamba) for the music-guided dance video synthesis task, i.e., to translate the input music to a dance video. STG-Mamba consists…

cs.CV2025★ 1 cited

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution

Zihang Liu, Zhenyu Zhang, Hao Tang

Diffusion-based image super-resolution (SR) methods have demonstrated remarkable performance. Recent advancements have introduced deterministic sampling processes that reduce infer…

cs.CV2025

Follow Your Motion: A Generic Temporal Consistency Portrait Editing Framework with Trajectory Guidance

Haijie Yang, Zhenyu Zhang, Hao Tang +2

Pre-trained conditional diffusion models have demonstrated remarkable potential in image editing. However, they often face challenges with temporal consistency, particularly in the…

cs.CV2024

ConsistentAvatar: Learning to Diffuse Fully Consistent Talking Head Avatar with Temporal Guidance

Haijie Yang, Zhenyu Zhang, Hao Tang +2

Diffusion models have shown impressive potential on talking head generation. While plausible appearance and talking effect are achieved, these methods still suffer from temporal, 3…