Automated generation of production-ready 3D garment assets from a single image is a central challenge in digital content creation. While recent generative models have significantly advanced 3D geometry reconstruction, synthesizing high-quality textures remains a bottleneck. Existing methods often bake environmental ill...
Di Huang, Yuan-Hao Wang, Cheng Zhang et al.· arXiv.org· 0 citations
FastFlowGS, a streaming 4D Gaussian Splatting method for reconstructing fast-moving subjects from a small set of fixed external cameras, and Monaco4D, a photorealistic Unreal Engine 5 benchmark for high-speed outdoor reconstruction are introduced.
Saswat Subhajyoti Mallick, Riu Cherdchusakulchai, Marc Ruiz Olle et al.· European Conference on Compu...· 0 citations
Three new vision-centric evaluation benchmarks in temporal frame retrieval, video future prediction, and causal memory distortion are introduced, all designed around evaluating visual understanding capabilities in large video models, which complements the existing approaches to evaluate video understanding in frontier...
Rwiddhi Chakraborty, Y. Wang, Cheng Zhang et al.· arXiv.org· 0 citations
It is shown that spatial coverage is associated with 3D reasoning performance and CoVeR, a deterministic, training-free selector that uses only token coordinates, with no learned signals is introduced, which outperforms prior SOTAs on all three 3D reasoning benchmarks and generalizes as a plug-and-play module tested ac...
