论文阅读清单-视觉
Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors https://wangrc.site/Diff3DEdit/
DreamCraft3D++: Efficient Hierarchical 3D Generation with Multi-Plane Reconstruction Model https://dreamcraft3dplus.github.io/
Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats https://arthurhero.github.io/projects/llrm/
LucidFusion: Generating 3D Gaussians with Arbitrary Unposed Images https://arxiv.org/pdf/2410.15636
Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs https://splatt3r.active.vision/
StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal https://stable-x.github.io/StableNormal/
LargeSpatialModel: End-to-end Unposed Images to Semantic 3D https://largespatialmodel.github.io/
CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes https://dekuliutesla.github.io/CityGaussianV2/static/paper/CityGaussianV2.pdf鉴定Geometrically Accurate
Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation https://arxiv.org/abs/2411.01647Medical Video Generation
GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes https://arxiv.org/abs/2411.01853表面重建方法
SplatFormer: https://github.com/ChenYutongTHU/SplatFormerGS+Transformer,解决NVS视角与训练集分布不一致
Simanything.
https://supertan0204.github.io/physmotion_website/
https://zhuomanliu.github.io/PhysFlow/
https://arxiv.org/pdf/2411.16877
https://github.com/XJay18/NeuMA