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Recent advances in 3d gaussian splatting
The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …
3d gaussian splatting: Survey, technologies, challenges, and opportunities
3D Gaussian Splatting (3DGS) has emerged as a prominent technique with the potential to
become a mainstream method for 3D representations. It can effectively transform multi-view …
become a mainstream method for 3D representations. It can effectively transform multi-view …
Viewcrafter: Taming video diffusion models for high-fidelity novel view synthesis
Large spatial model: End-to-end unposed images to semantic 3d
Reconstructing and understanding 3D structures from a limited number of images is a
classical problem in computer vision. Traditional approaches typically decompose this task …
classical problem in computer vision. Traditional approaches typically decompose this task …
Magicdrive3d: Controllable 3d generation for any-view rendering in street scenes
While controllable generative models for images and videos have achieved remarkable
success, high-quality models for 3D scenes, particularly in unbounded scenarios like …
success, high-quality models for 3D scenes, particularly in unbounded scenarios like …
Reconx: Reconstruct any scene from sparse views with video diffusion model
Advancements in 3D scene reconstruction have transformed 2D images from the real world
into 3D models, producing realistic 3D results from hundreds of input photos. Despite great …
into 3D models, producing realistic 3D results from hundreds of input photos. Despite great …
Dynamic gaussian marbles for novel view synthesis of casual monocular videos
Gaussian splatting has become a popular representation for novel-view synthesis, exhibiting
clear strengths in efficiency, photometric quality, and compositional edibility. Following its …
clear strengths in efficiency, photometric quality, and compositional edibility. Following its …
Distillnerf: Perceiving 3d scenes from single-glance images by distilling neural fields and foundation model features
We propose DistillNeRF, a self-supervised learning framework addressing the challenge of
understanding 3D environments from limited 2D observations in outdoor autonomous …
understanding 3D environments from limited 2D observations in outdoor autonomous …
Wonderworld: Interactive 3d scene generation from a single image
We present WonderWorld, a novel framework for interactive 3D scene generation that
enables users to interactively specify scene contents and layout and see the created scenes …
enables users to interactively specify scene contents and layout and see the created scenes …