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Found 4 papers, 0 papers with code
MVHuman: Tailoring 2D Diffusion with Multi-view Sampling For Realistic 3D Human Generation
Recent months have witnessed rapid progress in 3D generation based on diffusion models.
Rethinking the editing of generative adversarial networks: a method to estimate editing vectors based on dimension reduction
While Generative Adversarial Networks (GANs) have recently found applications in image editing, most previous GAN-based image editing methods require largescale datasets with semantic segmentation annotations for training, only provide high level control, or merely interpolate between different images.
SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection
Since image editing methods in real world scenarios cannot be exhausted, generalization is a core challenge for image manipulation detection, which could be severely weakened by semantically related features.
HumanGen: Generating Human Radiance Fields with Explicit Priors
With the aid of the anchor image, we adapt a 3D reconstructor for fine-grained details synthesis and propose a two-stage blending scheme to boost appearance generation.
