HUM AI TCH SH Shanmuka Sadhu Paper Insights: DIFF4SPLAT: Repurposing Video Diffusion Models for Dynamic Scene Generation I recently came across a GitHub repository with many papers on physically plausible video generation, and I found this paper. This paper…
PA Papers in 100 Lines of Code What Happens If You Initialize 3D Gaussian Splatting From a Very Sparse Point Cloud? As you might know, most 3D Gaussian Splatting (3DGS) pipelines are initialized from a point cloud-typically produced by COLMAP/SfM. When…
PA Papers in 100 Lines of Code Extracting Depth From Any Pretrained 3DGS (No Retraining Needed) Extract depth maps from any pretrained 3D Gaussian Splatting without retraining, depth loss, or special…
AI MA MAXST_Tech 23. 뉴럴 렌더링 기반 VPS 공간맵 생성 기술 안녕하세요, 저는 MAXST에서 AI와 Neural Rendering 연구를 담당하고 있는 김상록입니다.
AI MA MAXST_Tech 23. Neural Rendering-based VPS Spatial Map Generation Hello, this is Shawn, researching AI and Neural Rendering at MAXST.
MA MAXST_Tech 22. Different MAXST VPS Spatial Map Generation Methods Hello, this is John, CTO at MAXST.
