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Found 6 papers, 2 papers with code
Condition-Aware Neural Network for Controlled Image Generation
In parallel to prior conditional control methods, CAN controls the image generation process by dynamically manipulating the weight of the neural network.
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
For the training, we begin with the knowledge distillation from the SAM-ViT-H image encoder to EfficientViT.
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
Recent advancements in open-world 3D object generation have been remarkable, with image-to-3D methods offering superior fine-grained control over their text-to-3D counterparts.
Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model
We report Zero123++, an image-conditioned diffusion model for generating 3D-consistent multi-view images from a single input view.
NSM4D: Neural Scene Model Based Online 4D Point Cloud Sequence Understanding
We integrate NSM4D with state-of-the-art 4D perception backbones, demonstrating significant improvements on various online perception benchmarks in indoor and outdoor settings.
Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning
Recent work on 4D point cloud sequences has attracted a lot of attention.
