Photomaker: Customizing realistic human photos via stacked id embedding
Recent advances in text-to-image generation have made remarkable progress in
synthesizing realistic human photos conditioned on given text prompts. However existing …
synthesizing realistic human photos conditioned on given text prompts. However existing …
Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms
Diffusion models have exhibit exceptional performance in text-to-image generation and
editing. However, existing methods often face challenges when handling complex text …
editing. However, existing methods often face challenges when handling complex text …
Photorealistic video generation with diffusion models
We present WALT, a transformer-based approach for photorealistic video generation via
diffusion modeling. Our approach has two key design decisions. First, we use a causal …
diffusion modeling. Our approach has two key design decisions. First, we use a causal …
Is sora a world simulator? a comprehensive survey on general world models and beyond
General world models represent a crucial pathway toward achieving Artificial General
Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual …
Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual …
Scaling up to excellence: Practicing model scaling for photo-realistic image restoration in the wild
Abstract We introduce SUPIR (Scaling-UP Image Restoration) a groundbreaking image
restoration method that harnesses generative prior and the power of model scaling up …
restoration method that harnesses generative prior and the power of model scaling up …
Cache me if you can: Accelerating diffusion models through block caching
Diffusion models have recently revolutionized the field of image synthesis due to their ability
to generate photorealistic images. However one of the major drawbacks of diffusion models …
to generate photorealistic images. However one of the major drawbacks of diffusion models …
Pixart-\sigma: Weak-to-strong training of diffusion transformer for 4k text-to-image generation
In this paper, we introduce PixArt-\Sigma, a Diffusion Transformer model~(DiT) capable of
directly generating images at 4K resolution. PixArt-\Sigma represents a significant …
directly generating images at 4K resolution. PixArt-\Sigma represents a significant …
Scedit: Efficient and controllable image diffusion generation via skip connection editing
Image diffusion models have been utilized in various tasks such as text-to-image generation
and controllable image synthesis. Recent research has introduced tuning methods that …
and controllable image synthesis. Recent research has introduced tuning methods that …
GenTron: Diffusion Transformers for Image and Video Generation
In this study we explore Transformer based diffusion models for image and video
generation. Despite the dominance of Transformer architectures in various fields due to their …
generation. Despite the dominance of Transformer architectures in various fields due to their …
Eclipse: A resource-efficient text-to-image prior for image generations
Abstract Text-to-image (T2I) diffusion models notably the unCLIP models (eg DALL-E-2)
achieve state-of-the-art (SOTA) performance on various compositional T2I benchmarks at …
achieve state-of-the-art (SOTA) performance on various compositional T2I benchmarks at …