collaborators

5 papers

cs.CV2026

Object-Uni: A Unified Model for Object-Centric Spatial Understanding and Controllable Generation

Mining Tan, Yinuo Wang, Ziqi Zhou +6

Unified models for visual understanding and generation have made rapid progress, yet they still lack the ability to understand and manipulate the spatial states of object instances…

cs.AI2026

COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Models

Ziqi Zhou, Weize Quan, Mining Tan +6

Composition is a high-level visual intent that governs where subjects are placed and how a scene is organized, yet current unified multimodal models remain unreliable at fine-grain…

cs.AI2026

MTAVG-Bench 2.0: Diagnosing Failure Modes of Cinematic Expressiveness in Multi-Talker Audio-Video Generation

Haitian Li, Yanghao Zhou, Heyan Huang +15

In recent years, Multi-Talker Audio-Video Generation (MTAVG) models have shown promising performance on fundamental metrics such as lip-sync and audio-visual alignment. However, th…

cs.MM2026

MTAVG-Bench: A Diagnostic Benchmark for Multi-Talker Dialogue-Centric Audio-Video Generation

Yang-Hao Zhou, Haitian Li, Rexar Lin +12

Recent advances in text-to-audio-video (T2AV) generation have enabled models to synthesize audio-visual videos with multi-participant dialogues. However, existing evaluation benchm…

cs.CV2024

GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expression

Ziqi Zhou, Weize Quan, Hailin Shi +3

Audio-driven talking head generation necessitates seamless integration of audio and visual data amidst the challenges posed by diverse input portraits and intricate correlations be…