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20232026
most citedSEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction

12 citations · 41 across the 26 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 2 cited

SceneWiz3D: Towards Text-guided 3D Scene Composition

Qihang Zhang, Chaoyang Wang, Aliaksandr Siarohin +7

We are witnessing significant breakthroughs in the technology for generating 3D objects from text. Existing approaches either leverage large text-to-image models to optimize a 3D r…

cs.CV2023★ 5 cited

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future

Hongyang Li, Yang Li, Huijie Wang +16

With the continuous maturation and application of autonomous driving technology, a systematic examination of open-source autonomous driving datasets becomes instrumental in fosteri…

cs.CV2023★ 1 cited

VideoBooth: Diffusion-based Video Generation with Image Prompts

Yuming Jiang, Tianxing Wu, Shuai Yang +5

Text-driven video generation witnesses rapid progress. However, merely using text prompts is not enough to depict the desired subject appearance that accurately aligns with users'…

cs.CV2023★ 4 cited

VBench: Comprehensive Benchmark Suite for Video Generative Models

Ziqi Huang, Yinan He, Jiashuo Yu +13

Video generation has witnessed significant advancements, yet evaluating these models remains a challenge. A comprehensive evaluation benchmark for video generation is indispensable…

cs.CV2023★ 12 cited

SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction

Xinyuan Chen, Yaohui Wang, Lingjun Zhang +7

Recently video generation has achieved substantial progress with realistic results. Nevertheless, existing AI-generated videos are usually very short clips ("shot-level") depicting…

cs.CV2023★ 4 cited

HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting

Xian Liu, Xiaohang Zhan, Jiaxiang Tang +5

Realistic 3D human generation from text prompts is a desirable yet challenging task. Existing methods optimize 3D representations like mesh or neural fields via score distillation…

cs.CV2023★ 6 cited

HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion

Xian Liu, Jian Ren, Aliaksandr Siarohin +6

Despite significant advances in large-scale text-to-image models, achieving hyper-realistic human image generation remains a desirable yet unsolved task. Existing models like Stabl…