activity
20182026
most citedArbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning

28 citations · 28 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

GeoDiff3D: Self-Supervised 3D Scene Generation with Geometry-Constrained 2D Diffusion Guidance

Haozhi Zhu, Miaomiao Zhao, Dingyao Liu +4

3D scene generation is a core technology for gaming, film/VFX, and VR/AR. Growing demand for rapid iteration, high-fidelity detail, and accessible content creation has further incr…

cs.CV2025

WIPES: Wavelet-based Visual Primitives

Wenhao Zhang, Hao Zhu, Delong Wu +4

Pursuing a continuous visual representation that offers flexible frequency modulation and fast rendering speed has recently garnered increasing attention in the fields of 3D vision…

cs.CV2024

Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending

Delong Wu, Hao Zhu, Qi Zhang +3

Implicit Neural Representation (INR) has become a popular method for representing visual signals (e.g., 2D images and 3D scenes), demonstrating promising results in various downstr…

cs.CV2023

PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation

Jianhui Yu, Hao Zhu, Liming Jiang +3

Recent advances in zero-shot text-to-3D human generation, which employ the human model prior (eg, SMPL) or Score Distillation Sampling (SDS) with pre-trained text-to-image diffusio…

cs.CV2018★ 28 cited

Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning

Hao Zhu, Huaibo Huang, Yi Li +2

Talking face generation aims to synthesize a face video with precise lip synchronization as well as a smooth transition of facial motion over the entire video via the given speech…