1 citations · 1 across the 7 of their papers we have counts for
7 papers
VideoReloc: Long-Term Indoor Video Relocalization against a Kilobyte-Scale Semantic Scene Graph
Qianru Li, Xuyang Chen, Xuqin Wang +6
Given a compact semantic scene graph, long-term indoor video relocalization estimates a map-frame trajectory after lighting and furniture changes. Visual methods rely on appearance…
GraFT: A Training-Free Framework for Spatial Reasoning in Multimodal Large Language Models via 3D Scene Graphs
Junqing Du, Fernando Ropero, Erkin Turkoz +2
3D spatial reasoning underpins understanding and acting in the physical world, yet it remains unreliable in current multimodal large language models (MLLMs). These models falter at…
CinemaTraj: Composing Atomic Camera Trajectories for 3D Scenes with LLM Agents
Qianru Li, Xuyang Chen, Erkin Türköz +5
Automatically generating cinematically expressive camera trajectories through 3D scenes from natural language descriptions is a challenging task of high practical value, with appli…
GeodesicNVS: Probability Density Geodesic Flow Matching for Novel View Synthesis
Xuqin Wang, Tao Wu, Yanfeng Zhang +5
Recent advances in generative modeling have substantially enhanced novel view synthesis, yet maintaining consistency across viewpoints remains challenging. Diffusion-based models r…
AnyTalker: Scaling Multi-Person Talking Video Generation with Interactivity Refinement
Zhizhou Zhong, Yicheng Ji, Zhe Kong +12
Recently, multi-person video generation has started to gain prominence. While a few preliminary works have explored audio-driven multi-person talking video generation, they often f…
GeoSceneGraph: Geometric Scene Graph Diffusion Model for Text-guided 3D Indoor Scene Synthesis
Antonio Ruiz, Tao Wu, Andrew Melnik +6
Methods that synthesize indoor 3D scenes from text prompts have wide-ranging applications in film production, interior design, video games, virtual reality, and synthetic data gene…
LADB: Latent Aligned Diffusion Bridges for Semi-Supervised Domain Translation
Xuqin Wang, Tao Wu, Yanfeng Zhang +6
Diffusion models excel at generating high-quality outputs but face challenges in data-scarce domains, where exhaustive retraining or costly paired data are often required. To addre…