- ModelScope Text to video synthesis
- Nvidia VideoLDM: Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
- https://github.com/google-research/frame-interpolation
- https://github.com/ltkong218/ifrnet
- https://github.com/megvii-research/ECCV2022-RIFE
- Segment and Track Anything, code. an innovative framework combining the Segment Anything Model (SAM) and DeAOT tracking model, enables precise, multimodal object tracking in video, demonstrating superior performance in benchmarks
- Track Anything, code. extends the Segment Anything Model (SAM) to achieve high-performance, interactive tracking and segmentation in videos with minimal human intervention, addressing SAM's limitations in consistent video segmentation
- https://github.com/researchmm/FTVSR
- https://github.com/picsart-ai-research/videoinr-continuous-space-time-super-resolution
- MSU Benchmarks collection of video processing benchmarks developed by the Video Processing Group at the Moscow State University
- Video Super Resolution Benchmarks
- Video Generation Benchmarks
- Video Frame Interpolation Benchmarks