Image Generation

WIND: A novel, distortion-free image watermarking method leveraging diffusion models’ initial noise for robust AI-generated content authentication.

AnyDressing: Customizable multi-garment virtual dressing via a novel latent diffusion model!

NVComposer: A novel generative NVS model boosts synthesis quality by implicitly inferring spatial relationships from multiple sparse, unposed images, eliminating reliance on external alignment.

MV-Adapter easily transforms existing image generators into multi-view consistent image generators, improving efficiency and adaptability.

Imagine360: Generating immersive 360° videos from perspective videos, improving quality and accessibility of 360° content creation.

CleanDIFT revolutionizes diffusion feature extraction by leveraging clean images and a lightweight fine-tuning method, significantly boosting performance across various tasks without noise or timestep…

SNOOPI supercharges one-step diffusion model distillation with enhanced guidance, achieving state-of-the-art performance by stabilizing training and enabling negative prompt control.

GSQ-GAN, a novel image tokenizer, achieves superior reconstruction quality with 16x downsampling using grouped spherical quantization, enabling efficient scaling for high-fidelity image generation.

TinyFusion, a novel learnable depth pruning method, crafts efficient shallow diffusion transformers with superior post-fine-tuning performance, achieving a 2x speedup with less than 7% of the original…

SWITTI: a novel scale-wise transformer achieves 7x faster text-to-image generation than state-of-the-art diffusion models, while maintaining competitive image quality.

NitroFusion achieves high-fidelity single-step image generation using a dynamic adversarial training approach with a specialized discriminator pool, dramatically improving speed and quality.

NegToMe: Image-based adversarial guidance improves image generation diversity and reduces similarity to copyrighted content without training, simply by using images instead of negative text prompts.

Open-Sora Plan introduces an open-source large video generation model capable of producing high-resolution videos with long durations, based on various user inputs.

TryOffDiff generates realistic garment images from single photos, solving virtual try-on limitations.

ROICtrl boosts visual generation’s instance control by using regional instance control via ROI-Align and a new ROI-Unpool operation, resulting in precise regional control and high efficiency.

FAM Diffusion: Generate high-res images seamlessly from pre-trained diffusion models, solving structural and texture inconsistencies without retraining!

Omegance: One parameter precisely controls image detail in diffusion models, enabling flexible granularity adjustments without model changes or retraining.

ConsisID achieves high-quality, identity-preserving text-to-video generation using a tuning-free diffusion transformer model that leverages frequency decomposition for effective identity control.

DreamMix enhances image inpainting by disentangling object attributes for precise editing, enabling both identity preservation and flexible text-driven modifications.

DreamCache enables efficient, high-quality personalized image generation without finetuning by caching reference image features and using lightweight conditioning adapters.