Zhangyang Wang | NVIDIA ASPIRE Group https://research.nvidia.com/labs/aspire/author/zhangyang-wang/ Zhangyang Wang Wowchemy (https://wowchemy.com)en-usTue, 09 Dec 2025 00:00:00 -0800 https://research.nvidia.com/labs/aspire/images/logo_hu2fe6632db44d28c9b9d53edd3914c1d6_112452_300x300_fit_lanczos_3.png Zhangyang Wang https://research.nvidia.com/labs/aspire/author/zhangyang-wang/ Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions https://research.nvidia.com/labs/aspire/publication/li.fan.etal.neurips2025/ Tue, 09 Dec 2025 00:00:00 -0800 https://research.nvidia.com/labs/aspire/publication/li.fan.etal.neurips2025/ Can Test-Time Scaling Improve World Foundation Model? https://research.nvidia.com/labs/aspire/publication/cong.zhu.etal.colm2025/ Fri, 08 Aug 2025 00:00:00 -0400 https://research.nvidia.com/labs/aspire/publication/cong.zhu.etal.colm2025/ E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models https://research.nvidia.com/labs/aspire/publication/cong.liang.etal.arxiv2025/ Mon, 02 Jun 2025 00:00:00 +0000 https://research.nvidia.com/labs/aspire/publication/cong.liang.etal.arxiv2025/ InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds https://research.nvidia.com/labs/aspire/publication/fan.cong.etal.arxiv2025/ Fri, 07 Mar 2025 00:00:00 -0400 https://research.nvidia.com/labs/aspire/publication/fan.cong.etal.arxiv2025/ Large Spatial Model: End-to-end Unposed Images to Semantic 3D https://research.nvidia.com/labs/aspire/publication/fan.zhang.etal.neurips2024/ Thu, 24 Oct 2024 00:00:00 -0400 https://research.nvidia.com/labs/aspire/publication/fan.zhang.etal.neurips2024/