AI 3D Generation, explained

3D generation (text-to-3D, single-image to 3D) has significantly progressed this year. This video tries to summarize several ideas behind this technology and recent trends.

The papers discussed in the video:

• DreamFusion https://dreamfusion3d.github.io/
• Magic3D https://research.nvidia.com/labs/dir/...
• Fantasia3D https://fantasia3d.github.io/
• DreamGaussian https://dreamgaussian.github.io/
• RealFusion https://lukemelas.github.io/realfusion/
• NeRDi https://arxiv.org/abs/2212.03267
• NeuralLift-360 https://vita-group.github.io/NeuralLi...
• NFSD https://orenkatzir.github.io/nfsd/
• ProlificDreamer https://ml.cs.tsinghua.edu.cn/prolifi...
• Zero-1-to-3 https://zero123.cs.columbia.edu/
• Magic123 https://guochengqian.github.io/projec...
• DreamCraft3D https://mrtornado24.github.io/DreamCr...
• SyncedDreamer https://liuyuan-pal.github.io/SyncDre...
• MVDreamer https://mv-dream.github.io/
• Consistent-1-to-3 https://jianglongye.com/consistent123/
• Zero123++ https://arxiv.org/abs/2310.15110
• Wonder3D https://www.xxlong.site/Wonder3D/
• SweetDreamer https://sweetdreamer3d.github.io/
• LRM https://scalei3d.github.io/LRM/
• Instant3D https://instant-3d.github.io/
• DMV3D https://openreview.net/forum?id=H4yQe...