DiffuVST: Narrating Fictional Scenes with Global-History-Guided
Denoising Models

DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models

12 December 2023

Shengguang Wu

Papers citing "DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models"

5 / 5 papers shown

Title
CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning Shi-You Xu VLM DiffM 34 11 0 10 Oct 2022
Vision Transformer Based Model for Describing a Set of Images as a Story Zainy M. Malakan Ghulam Mubashar Hassan Ajmal Mian ViT 28 6 0 06 Oct 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 781 0 27 May 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 222 396 0 10 Feb 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 411 75,972 0 18 May 2015