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Zhi Cen

6 accepted papers

2026

StreamingTalker: Audio-driven 3D Facial Animation with Autoregressive Diffusion Model

AAAI 2026technical

This paper focuses on the task of speech-driven 3D facial animation, which aims to generate realistic and synchronized facial motions driven by speech inputs. Recent methods have employed audio-conditioned diffusion models for 3D facial animation, achieving impressive results in generating expressiv

Cited by 0SourcePDFScholar
2026

UnityVideo: Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation

CVPR 2026

Recent video generation models demonstrate impressive synthesis capabilities but remain limited by single-modality conditioning, constraining their holistic world understanding. This stems from insufficient cross-modal interaction and limited modal diversity for comprehensive world knowledge represe

Cited by 0SourcecodeScholar
2025

CoDA: Coordinated Diffusion Noise Optimization for Whole-Body Manipulation of Articulated Objects

NeurIPS 2025poster

Synthesizing whole-body manipulation of articulated objects, including body motion, hand motion, and object motion, is a critical yet challenging task with broad applications in virtual humans and robotics. The core challenges are twofold. First, achieving realistic whole-body motion requires tight…

Cited by 0SourceScholar
2025

Ready-to-React: Online Reaction Policy for Two-Character Interaction Generation

ICLR 2025poster

This paper addresses the task of generating two-character online interactions. Previously, two main settings existed for two-character interaction generation: (1) generating one's motions based on the counterpart's complete motion sequence, and (2) jointly generating two-character motions based on s…

Cited by 0SourcePDFScholar
2024

Generating Human Motion in 3D Scenes from Text Descriptions

CVPR 2024poster

Generating human motions from textual descriptions has gained growing research interest due to its wide range of applications. However only a few works consider human-scene interactions together with text conditions which is crucial for visual and physical realism. This paper focuses on the task of…

2023

Learning Human Mesh Recovery in 3D Scenes

CVPR 2023poster

We present a novel method for recovering the absolute pose and shape of a human in a pre-scanned scene given a single image. Unlike previous methods that perform sceneaware mesh optimization, we propose to first estimate absolute position and dense scene contacts with a sparse 3D CNN, and later enha…