Look Up Say More Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home Trending Now Mashable Selects Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook In My Bag AI at School Safety Net All Series'Wildwood' review: LAIKA weaves its extraordinary animation magic into a dark fairy tale Think twice about bringing kids to the Coraline creators' brutal and spectacular adventure. Shannon Connellan is Mashable's Senior Editor, General Assignments, based in London. She has been Mashable's UK Editor (and still manages the illustrious UK team) and Australia Editor, but emotionally, she lives searching for . A Tomatometer-approved critic, Shannon writes about entertainment, tech, social good, science, culture, and Australian horror, and loves to nerd out with movie stars, filmmakers, and TV creators . Wildwood will make your spirits soar, however there's darkness where there's light.

Look Up Say More Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home Trending Now Mashable Selects Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook In My Bag AI at School Safety Net All Series Storyboards, model sheets, and puppet rigs from Powerpuff Girls, Gumball, and more hit online as Skydance absorbs Warner Bros. Chance Townsend is the General Assignments Editor at Mashable, covering tech, video games, dating apps, digital culture, and whatever else comes his way. He has a Master's in Journalism from the University of North Texas and is a proud orange cat father. His writing has also appeared in PC Mag and . A huge trove of behind-the-scenes animation material from Cartoon Network's history appears to have leaked online, and it's the kind of stuff animation nerds rarely, if ever, get to see. The leak centers on a Google Drive folder containing production files from shows including,,,, and .

When you purchase through links in our articles, we may earn a small commission. Nvidia's DLSS 5 makes NBA 2K27 look incredibly real, which is kind of the problem NBA 2K27 shows off DLSS 5's impressive new realism -- and hints at a future where animation, not graphics, becomes gaming's weakest link. That sounds weird, but hear me out. Nvidia showed me and other journalists an early preview of 2K's NBA 2K27 ahead of the game's September 4 launch, because NBA 2K27 will also mark the debut of Nvidia's DLSS 5 technology, which applies AI models to rendered game scenes to drastically improve realism. It's the little things that sell it. Shadows fell naturally across Haliburton's hand as it gripped the ball.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Say More Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now In My Bag VidCon with Mashable All Series D23 2026: Every movie and series announced and shown at this year's fan event From'X-Men' bombshells to Pixar sequels, here's what you need to know. Belen Edwards is an Entertainment Reporter at Mashable. She covers movies and TV with a focus on fantasy and science fiction, adaptations, animation, and more nerdy goodness. She is a member of the Critics Choice Association and the Television Critics Association, as well as a Tomatometer-approved critic. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Say More Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now In My Bag VidCon with Mashable All Series Pixar's Coco is finally getting a sequel with Coco 2 Coco 2 will star a teenage Miguel and feature the return of Ernesto de la Cruz. Coco 2, starring a teenage Miguel and the return of Ernesto de la Cruz, is coming to theaters in 2029. One of the few hit Pixar films without a sequel is finally getting one. At its D23 fan event in Anaheim, Disney unveiled that the company is currently working on a sequel to Coco, tentatively titled Coco 2. This Tweet is currently unavailable. It might be loading or has been removed.

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW?

Modern transformation interacti of v static e applications 3D models increasingly into animated demand assets dyna constitutes mic 3D a content, significant yet botthe tleneck in content creation pipelines.

Recent advancements in video generation have achieved impressive motion realism, yet they often overlook character-driven storytelling, a crucial task for automated film, animation generation. We introduce Talking Characters, a more realistic task to generate talking character animations directly from speech and text.

Consistent pose-driven character animation has achieved remarkable progress in single-character scenarios. However, extending these advances to multi-character settings is non-trivial, especially when position swap is involved. Beyond mere scaling, the core challenge lies in enforcing correct Identity Correspondence (IC) between characters in reference and generated frames. To address this, we introduce EverybodyDance, a systematic solution targeting IC correctness in multi-character animation. EverybodyDance is built around the Identity Matching Graph (IMG), which models characters in the generated and reference frames as two node sets in a weighted complete bipartite graph.

Enabling virtual humans to dynamically and realistically respond to diverse auditory stimuli remains a key challenge in character animation, demanding the integration of perceptual modeling and motion synthesis. Despite its significance, this task remains largely unexplored. Most previous works have primarily focused on mapping modalities like speech, audio, and music to generate human motion. As of yet, these models typically overlook the impact of spatial features encoded in spatial audio signals on human motion. To bridge this gap and enable high-quality modeling of human movements in response to spatial audio, we introduce the first comprehensive Spatial Audio-Driven Human Motion (SAM) dataset, which contains diverse and high-quality spatial audio and motion data. For benchmarking, we develop a simple yet effective diffusion-based generative framework for human MOtion generation driven by SPatial Audio, termed MOSPA, which faithfully captures the relationship between body motion and spatial audio through an effective fusion mechanism. Once trained, MOSPA can generate diverse realistic human motions conditioned on varying spatial audio inputs. We perform a thorough investigation of the proposed dataset and conduct extensive experiments for benchmarking, where our method achieves state-of-the-art performance on this task.