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Tianshu Hu

5 accepted papers

2026

Bridging Your Imagination with Audio-Video Generation via a Unified Director

ICML 2026poster

Existing AI-driven video creation systems typically treat script drafting and key-shot design as two disjoint tasks: the former relies on large language models, while the latter depends on image generation models. We argue that these two tasks should be unified within a single framework, as logical …

Cited by 2SourceScholar
2025

DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance

ICCV 2025poster

While recent image-based human animation methods achieve realistic body and facial motion synthesis, critical gaps remain in fine-grained holistic controllability, multi-scale adaptability, and long-term temporal coherence, which leads to their lower expressiveness and robustness. We propose a diffu…

Cited by 0SourcePDFScholar
2025

INFP: Audio-Driven Interactive Head Generation in Dyadic Conversations

CVPR 2025poster

Imagine having a conversation with a socially intelligent agent. It can attentively listen to your words and offer visual and linguistic feedback promptly. This seamless interaction allows for multiple rounds of conversation to flow smoothly and naturally. In pursuit of actualizing it, we propose IN…

Cited by 4SourcePDFScholar
2023

Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement

ICCV 2023poster

Neural Radiance Fields (NeRF) have constituted a remarkable breakthrough in image-based 3D reconstruction. However, their implicit volumetric representations differ significantly from the widely-adopted polygonal meshes and lack support from common 3D software and hardware, making their rendering…

Cited by 120PDFcodeScholar
2023

StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator

CVPR 2023poster

Despite recent advances in syncing lip movements with any audio waves, current methods still struggle to balance generation quality and the model's generalization ability. Previous studies either require long-term data for training or produce a similar movement pattern on all subjects with low quali…

Cited by 71SourcePDFScholar