FourTune matches full-precision LoRA quality on diffusion post-training via native W4A4G4 with a frozen SVD stabilizer, block-wise quant, and fused kernels, cutting memory 2.25× and speeding training 2.27× on FLUX.1-dev.
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TripoSG generates high-fidelity 3D meshes from input images via a large-scale rectified flow transformer and hybrid-trained 3D VAE on a custom 2-million-sample dataset, claiming state-of-the-art fidelity and generalization.
citing papers explorer
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FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models
FourTune matches full-precision LoRA quality on diffusion post-training via native W4A4G4 with a frozen SVD stabilizer, block-wise quant, and fused kernels, cutting memory 2.25× and speeding training 2.27× on FLUX.1-dev.
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TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
TripoSG generates high-fidelity 3D meshes from input images via a large-scale rectified flow transformer and hybrid-trained 3D VAE on a custom 2-million-sample dataset, claiming state-of-the-art fidelity and generalization.