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LD-ZNet: A Latent Diffusion Approach fo type="video/mp4"> --> - LD-ZNet can segment various objects on real and AI-generated images @@ -242,7 +242,7 @@

Object-level semantics inside LDM

- LD-ZNet can segment various objects on real and AI-generated images @@ -253,7 +253,7 @@

Object-level semantics inside LDM

Method

- LD-ZNet can segment various objects on real and AI-generated images @@ -272,7 +272,7 @@

Phrasecut Dataset

- LD-ZNet can segment various objects on real and AI-generated images @@ -285,7 +285,7 @@

Phrasecut Dataset

- LD-ZNet can segment various objects on real and AI-generated images @@ -302,7 +302,7 @@

AI-Generated Images (AIGI) Dataset

- LD-ZNet can segment various objects on real and AI-generated images @@ -316,7 +316,7 @@

AI-Generated Images (AIGI) Dataset

Results on AIGI

- LD-ZNet can segment various objects on real and AI-generated images @@ -330,13 +330,13 @@

Results on AIGI





- LD-ZNet can segment various objects on real and AI-generated images

- LD-ZNet can segment various objects on real and AI-generated images @@ -355,7 +355,7 @@

More qualitative results of LD-ZNet

- LD-ZNet can segment various objects on real and AI-generated images @@ -372,12 +372,12 @@

More qualitative results of LD-ZNet






Multi-object Segmentation

- LD-ZNet can segment various objects on real and AI-generated images


- LD-ZNet can segment various objects on real and AI-generated images