🚀 Super excited to share our latest work, a scalable feed-forward 3DGS model. We've been working on feed-forward 3DGS for more than a year,
this is the result of our blood, sweat, tears… and 💸(GPUs;;;)
gynjn.github.io/MVP/
Motif-3-Beta just dropped on Hugging Face
~314B total parameters / ~13B active per token (sparse MoE)
256K context length (262,144 tokens), natively long-context
Sparse routing: 384 experts with 8 activated per token, plus 1 shared expert
Multilingual, general-purpose
Photos to 3D model with 2Xplat.
Pose-free 3D Gaussian Splatting
- 0.15s–0.31s inference;
- beats YoNoSplat;
- high-fidelity splats
hwasikjeong.github.io/2Xplat/
Thanks for featuring our work! 🙏
For a bit more context: open-vocab, pose-free multi-view input, no point clouds or depth, and zero-shot. Kudos to @roodiiiiiiiii👏
🔥 +17 mAP vs. prev SOTA 🔥
🏠Project: ubin108.github.io/Group3D/
📄Paper: arxiv.org/abs/2603.21944
💻Code (coming