Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation
While recent advances in 3D generation have enabled impressive visual synthesis, existing methods often rely on 2D diffusion supervision without explicit mechanisms for geometric consistency, leading to spatial hallucinations such as duplicated structures and misaligned geometry. These issues become more severe in 4D generation, where maintaining consistency across viewpoints and temporal evolution introduces additional challenges, including jitter, identity flicker, and structural drift. We present \textbf{Hallo4D}, a unified and model-agnostic framework for mitigating spatiotemporal hallucin
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- LinkedLinked via arxiv author · 85%Hongbo Wang →
“Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation”
- LinkedLinked via arxiv author · 85%Huaibo Huang →
“Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation”
- LinkedLinked via arxiv author · 85%Jie Cao →
“Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation”
- LinkedLinked via arxiv author · 85%Yijin Liu →
“Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation”
- LinkedLinked via arxiv author · 85%Haoyang Tong →
“Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation”
- LinkedLinked via arxiv author · 85%Ran He →
“Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation”