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Found 5 papers, 2 papers with code
ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation
In this paper, we introduce the Anonymous Region Transformer (ART), which facilitates the direct generation of variable multi-layer transparent images based on a global text prompt and an anonymous region layout.
Diffusion Models without Classifier-free Guidance
This paper presents Model-guidance (MG), a novel objective for training diffusion model that addresses and removes of the commonly used Classifier-free guidance (CFG).
Ranked #6 on
Image Generation
on ImageNet 256x256
Simplified Diffusion Schrödinger Bridge
This paper introduces a novel theoretical simplification of the Diffusion Schr\"odinger Bridge (DSB) that facilitates its unification with Score-based Generative Models (SGMs), addressing the limitations of DSB in complex data generation and enabling faster convergence and enhanced performance.
VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder
The 3D volumes are then trained on a diffusion model for text-to-3D generation using a 3D U-Net.
Improved Vector Quantized Diffusion Models
When trained on ImageNet, we dramatically improve the FID score from 11. 89 to 4. 83, demonstrating the superiority of our proposed techniques.
