正在加载视频...

视频加载失败

A.W.A.R.E (Aware Forces) is a furry visual novel developed by The Neurasthenia Studio, utilizing Unity 3D for its creation! The game is fully animated, film-style storytelling and supports both Chinese and English languages.

200,672 次观看 • 2 年前 •via X (Twitter)

9 条评论

AwareForces 的头像
AwareForces2 年前

For more info, please visit:

是狗狗啊! 的头像
是狗狗啊!2 年前

厉害的,偷摸放大招

Dae 的头像
Dae2 年前

@carboooooooooo1 厚礼蟹,这也太牛了

空空得 的头像
空空得2 年前

香香的哲门队长!

冯利普 的头像
冯利普2 年前

我去

桟橋海猫 的头像
桟橋海猫2 年前

We need a Discord Server! God knows how I need the stickers.

Legoshi 的头像
Legoshi2 年前

i just downloaded this game and its so cool! i cant wait for the next parts!

VenJay727 的头像
VenJay7272 年前

are these Models from the game originally from MMD Models too? it looks similar to that

艾云凛然/エイユン 的头像
艾云凛然/エイユン2 年前

@salama726

相关视频

MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising paper page: Visual storytelling often uses nontypical aspect-ratio images like scroll paintings, comic strips, and panoramas to create an expressive and compelling narrative. While generative AI has achieved great success and shown the potential to reshape the creative industry, it remains a challenge to generate coherent and engaging content with arbitrary size and controllable style, concept, and layout, all of which are essential for visual storytelling. To overcome the shortcomings of previous methods including repetitive content, style inconsistency, and lack of controllability, we propose MagicScroll, a multi-layered, progressive diffusion-based image generation framework with a novel semantic-aware denoising process. The model enables fine-grained control over the generated image on object, scene, and background levels with text, image, and layout conditions. We also establish the first benchmark for nontypical aspect-ratio image generation for visual storytelling including mediums like paintings, comics, and cinematic panoramas, with customized metrics for systematic evaluation. Through comparative and ablation studies, MagicScroll showcases promising results in aligning with the narrative text, improving visual coherence, and engaging the audience. We plan to release the code and benchmark in the hope of a better collaboration between AI researchers and creative practitioners involving visual storytelling.

AK

22,379 次观看 • 2 年前