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2 accepted papers

2024

Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation

ECCV 2024poster

"Diffusion Transformers have recently shown remarkable effectiveness in generating high-quality 3D point clouds. However, training voxel-based diffusion models for high-resolution 3D voxels remains prohibitively expensive due to the cubic complexity of attention operators, which arises from the addi…

Cited by 5SourcePDFScholar
2024

PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

ECCV 2024poster

"In this paper, we introduce , a Diffusion Transformer model (DiT) capable of directly generating images at 4K resolution. represents a significant advancement over its predecessor, , offering images of markedly higher fidelity and improved alignment with text prompts. A key feature of is its traini…

Cited by 178SourcePDFScholar