1 citations · 1 across the 6 of their papers we have counts for
6 papers
LongCat-Next: Lexicalizing Modalities as Discrete Tokens
Meituan LongCat Team, Bin Xiao, Chao Wang +86
The prevailing Next-Token Prediction (NTP) paradigm has driven the success of large language models through discrete autoregressive modeling. However, contemporary multimodal syste…
UniHetero: Could Generation Enhance Understanding for Vision-Language-Model at Large Data Scale?
Fengjiao Chen, Minhao Jing, Weitao Lu +3
Vision-language large models are moving toward the unification of visual understanding and visual generation tasks. However, whether generation can enhance understanding is still u…
MegActor-: Unlocking Flexible Mixed-Modal Control in Portrait Animation with Diffusion Transformer
Shurong Yang, Huadong Li, Juhao Wu +6
Diffusion models have demonstrated superior performance in the field of portrait animation. However, current approaches relied on either visual or audio modality to control charact…
MegActor: Harness the Power of Raw Video for Vivid Portrait Animation
Shurong Yang, Huadong Li, Juhao Wu +5
Despite raw driving videos contain richer information on facial expressions than intermediate representations such as landmarks in the field of portrait animation, they are seldom…
Towards RGB-NIR Cross-modality Image Registration and Beyond
Huadong Li, Shichao Dong, Jin Wang +5
This paper focuses on the area of RGB(visible)-NIR(near-infrared) cross-modality image registration, which is crucial for many downstream vision tasks to fully leverage the complem…
Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion
Huadong Li, Minhao Jing, Jiajun Liang +2
It is widely believed that sparse supervision is worse than dense supervision in the field of depth completion, but the underlying reasons for this are rarely discussed. To this en…