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cs.CV2024
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training
Zhenghong Zhou, Jie An, Jiebo Luo
Precise camera pose control is crucial for video generation with diffusion models. Existing methods require fine-tuning with additional datasets containing paired videos and camera…
cs.CV2024
On Inductive Biases That Enable Generalization of Diffusion Transformers
Jie An, De Wang, Pengsheng Guo +2
Recent work studying the generalization of diffusion models with UNet-based denoisers reveals inductive biases that can be expressed via geometry-adaptive harmonic bases. However,…
cs.CV2024
Bring Metric Functions into Diffusion Models
Jie An, Zhengyuan Yang, Jianfeng Wang +4
We introduce a Cascaded Diffusion Model (Cas-DM) that improves a Denoising Diffusion Probabilistic Model (DDPM) by effectively incorporating additional metric functions in training…