Recent advances in latent diffusion-based generative models for portrait image animation,
such as Hallo, have achieved impressive results in short-duration video synthesis. In this …

In this paper, we introduce\textbf {DimensionX}, a framework designed to generate
photorealistic 3D and 4D scenes from just a single image with video diffusion. Our approach …

Identity-preserving text-to-video (IPT2V) generation aims to create high-fidelity videos with
consistent human identity. It is an important task in video generation but remains an open …

Methods for image-to-video generation have achieved impressive, photo-realistic quality.
However, adjusting specific elements in generated videos, such as object motion or camera …

Motion control is crucial for generating expressive and compelling video content; however,
most existing video generation models rely mainly on text prompts for control, which struggle …

Recent advancements in diffusion models have significantly enhanced the quality of video
generation. However, fine-grained control over camera pose remains a challenge. While U …

The intuitive nature of drag-based interaction has led to its growing adoption for controlling
object trajectories in image-to-video synthesis. Still, existing methods that perform dragging …

Numerous works have recently integrated 3D camera control into foundational text-to-video
models, but the resulting camera control is often imprecise, and video generation quality …

Despite the significant advancements made by Diffusion Transformer (DiT)-based methods
in video generation, there remains a notable gap with controllable camera pose …

Video restoration poses non-trivial challenges in maintaining fidelity while recovering
temporally consistent details from unknown degradations in the wild. Despite recent …