A presenter stands at a podium, delivering a talk on video generation methodologies, as depicted on the large screen behind him. The slide visually outlines the landscape of video generation techniques in a tree diagram, showcasing different categories including pioneering works, open-source base models, closed-source works, training-efficient techniques, storyboard, long video generation, and multimodal-guided generation. Each category is marked with references to specific projects and technologies, illustrating the complex and dynamic field of video generation. The audience, visible in the foreground, listens attentively to the detailed presentation.
Text transcribed from the image:
Q
2.2
Open-Source
Base Models
Show-1
Zhang et al. 2023
VideoCrafter
Chen et al. 2023
LaVie
Wang et al. 2023
Stable Video Diffusion
Blattmann et al. 2023
ModelScopeT2V
Wang et al. 2023
2.3
Other Closed-Source
Works
VideoFactory
Wang et al. 2023
VideoFusion
Luo et al. 2023
Latent-Shift
An et al. 2023
PYoCo
Ge et al. 2023
2.1
NEXT-GPT
Xing et al. 2023
Generative Disco
Liu et al. 2023
AADiff
Lee et al. 2023
MCDiff
Chen et al. 2023
MovieFactory
Zhu et al. 2023
2.7
Multimodal-Guided
Generation
TPOS
Jeong et al. 2023
2.4
Training-Efficient
Techniques
AnimateDiff
Guo et al. 2023
DSDN
Liu et al. 2023
Text2Video-Zero
Khachatryan et al. 2023
MagicVideo
Zhou et al. 2022
SimDA
Xing et al. 2022
2.5
Storyboard
VideoDirectorGPT LLM-Grounded
Lin et al. 2023
VisorGPT
Xie et al. 2023 Hong et al. 2023
Free-Bloom
Huang et al. 2023
Dysen-VDM
Fel et al. 2023
VDM
Lian et al. 2023
Pioneering Works
VDM
Ho et al. 2022
Imagen Video
Ho et al. 2022
Align your Latents
Blattmann et al. 2023
Make-A-Video
Singer et al. 2022
Video
Generation
DirecT2V
LaMD
Hu et al. 2023
2.6
Long Video
Generation
LVDM
He et al. 2022
VidRF
Gu et al. 2023
CoDi
DragNUWA
Yin et al. 2023
Tang et al. 2023
VideoGen
U et al. 2023
NUWA-XL
Yin et al. 2023
MM-Diffusion
Ruan et al. 2023
LFDM
Ni et al. 2023
Generative Dynamics
Li et al. 2023
MinD-Video
Chen et al. 2023
Copyright Mike Shou, NUS