Image Generation Comparison Hub
4 papers - avg viability 6.3
Top Papers
- AccelAes: Accelerating Diffusion Transformers for Training-Free Aesthetic-Enhanced Image Generation(8.0)
AccelAes accelerates diffusion transformers for enhanced image generation by optimizing computation based on aesthetic descriptors.
- PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss(7.0)
PixelGen offers a simpler, powerful image generation tool by surpassing traditional diffusion methods using perceptual loss.
- PHAC: Promptable Human Amodal Completion(7.0)
PHAC enables precise human image completion using user-defined prompts for enhanced control and quality.
- SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation(3.0)
SNCE introduces a novel training objective to enhance discrete image generation by optimizing large VQ codebooks.