activity
20222025
most citedLocally Attentional SDF Diffusion for Controllable 3D Shape Generation

120 citations · 129 across the 4 of their papers we have counts for

collaborators

9 papers

cs.CV20251 cited

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Guoqing Ma, Haoyang Huang, Kun Yan +112

We present Step-Video-T2V, a state-of-the-art text-to-video pre-trained model with 30B parameters and the ability to generate videos up to 204 frames in length. A deep compression…

cs.CV20241 cited

Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation

Yue Ma, Hongyu Liu, Hongfa Wang +8

We present Follow-Your-Emoji, a diffusion-based framework for portrait animation, which animates a reference portrait with target landmark sequences. The main challenge of portrait…

cs.CV20241 cited

Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts

Yue Ma, Yingqing He, Hongfa Wang +8

Despite recent advances in image-to-video generation, better controllability and local animation are less explored. Most existing image-to-video methods are not locally aware and t…

cs.CV20232 cited

HumanTOMATO: Text-aligned Whole-body Motion Generation

Shunlin Lu, Ling-Hao Chen, Ailing Zeng +4

This work targets a novel text-driven whole-body motion generation task, which takes a given textual description as input and aims at generating high-quality, diverse, and coherent…

cs.CV20232 cited

TOSS:High-quality Text-guided Novel View Synthesis from a Single Image

Yukai Shi, Jianan Wang, He Cao +7

In this paper, we present TOSS, which introduces text to the task of novel view synthesis (NVS) from just a single RGB image. While Zero-1-to-3 has demonstrated impressive zero-sho…

cs.CV2023

Reinforced Disentanglement for Face Swapping without Skip Connection

Xiaohang Ren, Xingyu Chen, Pengfei Yao +2

The SOTA face swap models still suffer the problem of either target identity (i.e., shape) being leaked or the target non-identity attributes (i.e., background, hair) failing to be…