Search Results for author:
Found 9 papers, 6 papers with code
MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation
Recent advances in video diffusion models have unlocked new potential for realistic audio-driven talking video generation.
OminiControl: Minimal and Universal Control for Diffusion Transformer
In this paper, we introduce OminiControl, a highly versatile and parameter-efficient framework that integrates image conditions into pre-trained Diffusion Transformer (DiT) models.
LinFusion: 1 GPU, 1 Minute, 16K Image
Modern diffusion models, particularly those utilizing a Transformer-based UNet for denoising, rely heavily on self-attention operations to manage complex spatial relationships, thus achieving impressive generation performance.
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis
Latent diffusion models have shown promising results in audio generation, making notable advancements over traditional methods.
Video-Infinity: Distributed Long Video Generation
Specifically, we propose two coherent mechanisms: Clip parallelism and Dual-scope attention.
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
To address this, we introduce AsyncDiff, a universal and plug-and-play acceleration scheme that enables model parallelism across multiple devices.
MindBridge: A Cross-Subject Brain Decoding Framework
Currently, brain decoding is confined to a per-subject-per-model paradigm, limiting its applicability to the same individual for whom the decoding model is trained.
C-Procgen: Empowering Procgen with Controllable Contexts
We present C-Procgen, an enhanced suite of environments on top of the Procgen benchmark.
AdversarialNAS: Adversarial Neural Architecture Search for GANs
In this paper, we propose an AdversarialNAS method specially tailored for Generative Adversarial Networks (GANs) to search for a superior generative model on the task of unconditional image generation.
