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Found 5 papers, 2 papers with code
PoseAnimate: Zero-shot high fidelity pose controllable character animation
Image-to-video(I2V) generation aims to create a video sequence from a single image, which requires high temporal coherence and visual fidelity with the source image. However, existing approaches suffer from character appearance inconsistency and poor preservation of fine details.
VideoAssembler: Identity-Consistent Video Generation with Reference Entities using Diffusion Model
Identity-consistent video generation seeks to synthesize videos that are guided by both textual prompts and reference images of entities.
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Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models
In this way, temporal consistency can be kept with video LDM while high-fidelity from the image LDM can also be exploited.
Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
Conditioned on an initial video clip with a small number of frames, additional frames are iteratively generated by reusing the original latent features and following the previous diffusion process.
aw_nas: A Modularized and Extensible NAS framework
Neural Architecture Search (NAS) has received extensive attention due to its capability to discover neural network architectures in an automated manner.
