Search papers, labs, and topics across Lattice.
MT-EditFlow bridges the gap between local planning and global success in multi-turn image editing, achieving a significant performance boost over leading models.
Forget training: PinPoint, a training-free point selector, closes the performance gap between zero-shot VLMs and fine-tuned specialists in referring image segmentation by intelligently choosing interior points for prompting SAM.
Outlier tokens in Diffusion Transformers aren't just extreme values; they corrupt local patch semantics, and can be tamed with Dual-Stage Registers to boost image generation quality.
Forget generating entire videos – this method distills motion into a highly compressed latent space, letting you steer scene dynamics with text prompts at unprecedented speeds.
Watermarks meant to identify AI-generated images can be easily removed or forged, even allowing attackers to falsely flag real images as AI-generated.
Text-to-video generation gets a 1.58x speed boost with CalibAtt, a training-free method that exploits consistent sparsity patterns in attention layers.
Ditch slow, external segmentation pipelines: TrajTok learns trajectory tokens end-to-end, boosting video understanding while staying lean and adaptable.
A low-cost, portable e-waste sorter achieves high precision (90%) using a YOLOx model, promising to boost material recovery rates in recycling.
