C Yu, X Bi, Y Fan - Ocean Engineering, 2023 - Elsevier
Deep learning technique, has made tremendous progress in fluid mechanics in recent years, because of its mighty feature extraction capacity from complicated and massive fluid …
We present Stable Video Diffusion-a latent video diffusion model for high-resolution, state-of- the-art text-to-video and image-to-video generation. Recently, latent diffusion models trained …
Image diffusion models, trained on massive image collections, have emerged as the most versatile image generator model in terms of quality and diversity. They support inverting real …
X Wang, H Yuan, S Zhang, D Chen… - Advances in …, 2024 - proceedings.neurips.cc
The pursuit of controllability as a higher standard of visual content creation has yielded remarkable progress in customizable image synthesis. However, achieving controllable …
G Xu, X Wang, X Ding, X Yang - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Abstract Recurrent All-Pairs Field Transforms (RAFT) has shown great potentials in matching tasks. However, all-pairs correlations lack non-local geometry knowledge and …
We address the problem of synthesizing novel views from a monocular video depicting a complex dynamic scene. State-of-the-art methods based on temporally varying Neural …
Synthesizing visual content that meets users' needs often requires flexible and precise controllability of the pose, shape, expression, and layout of the generated objects. Existing …
We present a new test-time optimization method for estimating dense and long-range motion from a video sequence. Prior optical flow or particle video tracking algorithms typically …
We extend neural radiance fields (NeRFs) to dynamic large-scale urban scenes. Prior work tends to reconstruct single video clips of short durations (up to 10 seconds). Two reasons …