A speaker is presenting a slide on "Video Generation" at a conference. The slide showcases an infographic in the form of a tree diagram, categorizing different aspects and advancements in video generation technology. The tree is divided into several sections such as "Pioneering Works," "Open-Source Base Models," "Other Closed-Source Works," "Training-Efficient Techniques," "Storyboard," "Long Video Generation," and "Multimodal-Guided Generation." Each section lists various projects and research works with corresponding authors and dates, such as "ModelScopeT2V" by Wang et al. 2023 under the "Open-Source Base Models" category, "VideoFactory" by Macro et al. 2023 under "Other Closed-Source Works," and "DragNUWA" by Wu et al. 2023 under "Multimodal-Guided Generation." Attendees are seated in the foreground, attentively listening to the presenter. The presentation appears to be academic, possibly addressing recent trends, methodologies, and developments in video generation research. The environment is professional, with a large screen and microphones in place for the speaker.
Text transcribed from the image:
COPYRIGHT© Mike Shou, NUS

2.2
Open-Source Base Models
Show-1
VideoCrafter
VideoFusion
Stable Video Diffusion
ModelScopeT2V

Video Generation

2.1
Pioneering Works
VDM
Imagen Video
Align your Latents
Make-A-Video

2.3
Other Closed-Source Works
VideoFactory
Videofusion
Latent-Shift

2.4
Training-Efficient Techniques
ProCo
Text2Video-Zero
MagicVideo
SimDA

Storyboard

VideoDirectorGPT
VisorGPT
Free-Bloom
StoryGen
DireT2V

2.7
Multimodal-Guided Generation
DragNUWA
LaM3D
MM-Diffusion

MCDIFF

TPOS

2.6
Long Video Generation
LDVDM
VideoGen
Vid2Vird 
Nuwa-XL

Minid-Video 
2.5
MovieFactoryV2