most citedAutoStory: Generating Diverse Storytelling Images with Minimal Human Effort

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

Framer: Interactive Frame Interpolation

Wen Wang, Qiuyu Wang, Kecheng Zheng +6

We propose Framer for interactive frame interpolation, which targets producing smoothly transitioning frames between two images as per user creativity. Concretely, besides taking t…

cs.CV2024

Contextual AD Narration with Interleaved Multimodal Sequence

Hanlin Wang, Zhan Tong, Kecheng Zheng +2

The Audio Description (AD) task aims to generate descriptions of visual elements for visually impaired individuals to help them access long-form video content, like movies. With vi…

cs.CV2023

GenDeF: Learning Generative Deformation Field for Video Generation

Wen Wang, Kecheng Zheng, Qiuyu Wang +5

We offer a new perspective on approaching the task of video generation. Instead of directly synthesizing a sequence of frames, we propose to render a video by warping one static im…

cs.CV2023

TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification

Qinying Liu, Wei Wu, Kecheng Zheng +6

The crux of learning vision-language models is to extract semantically aligned information from visual and linguistic data. Existing attempts usually face the problem of coarse ali…

cs.CV2023

Learning Naturally Aggregated Appearance for Efficient 3D Editing

Ka Leong Cheng, Qiuyu Wang, Zifan Shi +5

Neural radiance fields, which represent a 3D scene as a color field and a density field, have demonstrated great progress in novel view synthesis yet are unfavorable for editing du…

cs.CV2023★ 2 cited

AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort

Wen Wang, Canyu Zhao, Hao Chen +3

Story visualization aims to generate a series of images that match the story described in texts, and it requires the generated images to satisfy high quality, alignment with the te…

cs.CV2023

Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis

Jiapeng Zhu, Ceyuan Yang, Kecheng Zheng +3

Due to the difficulty in scaling up, generative adversarial networks (GANs) seem to be falling from grace on the task of text-conditioned image synthesis. Sparsely-activated mixtur…