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40 frames- 15678NewHow to Remove Music from Your AI Videos (Easy Tutorial)
In this quick tutorial, Caleb shows you how to strip the music out of any clip using SAM Audio, Meta’s free sound isolation tool. That way, you get clean sound effects and can add your own music in your editor. It works on regular footage too, not just AI clips. Check. outa full…
Curious Refuge - 13822NewThe New Cinematic AI Film Workflow (What Actually Works)
The full AI filmmaking workflow behind Planet Hell: Seedance 2.5 on OpenArt, driven over MCP by Claude Code and Codex, Gemini 4 Argon as story editor and colorist in DaVinci Resolve, and After Effects for the fixes the AI couldn't make. A few days ago I released Planet Hell, the…
Theoretically Media - 2276NewManimCode: Learning Visual Self-Correction for Educational Animation
Manim supports precise, programmatic video generation, but a successfully rendered educational animation can still have visual defects, missing explanations, or incorrect content. Rendering does not directly identify the code changes needed to correct these visual failures, so…
arXiv: video generation - 1558NewEDGAR: Efficient Diffusion-Driven Gaussian Avatar Refinement via Synthetic Failure
EDGAR is a conditional diffusion framework with a fusion block and Mixture-of-Experts that refines degraded Gaussian head avatars by injecting self-supervised identity features, using refined multi-view renderings as pseudo-targets to optimize a single avatar.
Hugging Face Daily Papers - 1326NewTraining-Free Predictive Spatio-Temporal Token Pruning for Few-Step Autoregressive Video Diffusion
Few-step autoregressive (AR) video diffusion models generate videos chunk by chunk and have made efficient video generation practical. However, further accelerating these models toward real-time generation remains challenging, as few-step distillation leaves little cross-step…
arXiv: video generation
- 338NewThe Future of Video Production is Here!
In this tutorial, we'll show you how to create a studio from anywhere in the world. All you need is audio, reference video, and you are good to go. This workflow is the future of video production. Check out the full breakdown here…
Curious Refuge - 337NewGoogle's Gemini Omni 1.2 Flash stretches AI video clips to 15 seconds and cuts pricing by 30 percent
Google Deepmind is making Gemini Omni 1.2 Flash generally available. The video-generation model now creates clips up to 15 seconds long, can be edited step by step via conversation, and costs just $0.07 per second at 720p, 30 percent less than its predecessor. Users who draft in…
The Decoder - 336NewGemini Omni 1.2 Flash is now listed on OpenRouter
Text and image to video · 3–15 s · 720p, 1080p, 4K, 360p · 16:9 9:16 · audio · from $0.023/s on OpenRouter
OpenRouter video model - 335NewGemini Omni 1.2 Flash: Fast and cost-effective with longer clips
Text "Gemini Introducing Gemini Omni 1.2 Flash" surroudned by images of a beehive, animals in conversation, a squid, and a woman walking down a street
Google AI Blog - 334NewComfyUI Image Size Explained: Empty Latent Image, Aspect Ratio and Batch Size
In this video of ComfyUI Nodes Explained, you will learn how ComfyUI sets the size of your image: what the empty latent is, how width and height work, why the same seed gives a new image at a new size, why a bigger image is not always better, why 1080 becomes 1088, how aspect…
pixaroma
- 333NewLTX-2 v1.6.1Lightricks/LTX-2
- 331NewArtiVidRM: Verifiable Artifact-as-Rubric Reward Modeling for Explicit Quality Articulation in Video Generation
Reinforcement learning has become an effective approach for improving video generation, but its success depends heavily on reliable reward models. Existing methods either map videos directly to opaque scalar scores or generate free-form rationales that are not explicitly…
arXiv: video generation - 330NewHouseholder Motion Embedding: Noise Modulation for Motion-Controllable Video Generation
Diffusion models for video generation have achieved remarkable success, yet precise motion control under explicit user guidance remains challenging. Recent noise-warping methods introduce temporal correlations by warping the noise according to the user-provided motion signal…
arXiv: video generation - 325NewGemini Omni 1.1 Flash is now listed on OpenRouter
Text and image to video · 3–10 s · 720p, 1080p, 4K, 360p · 16:9 9:16 · audio · from $0.034/s on OpenRouter
OpenRouter video model - 324NewChatGPT can now turn text prompts and photos into animated GIFs with OpenAI's Images 2.6 model
OpenAI is adding a GIF feature to ChatGPT. With the new Images 2.6 model, users can create animated GIFs from text prompts or photos and then adjust speed and individual frames. The model's image consistency is strong enough to keep characters recognizable across frames, making…
The Decoder
- 322NewHow BAD is AI for Games?
AI and vibe coding have changed game development forever. Every second game on Steam is now created with AI. And Itch.io has made a big move to remove AI Spam Games. Claude has limited the use of web coding for games. So what does all of that mean for the future of video games…
Olivio Sarikas - 318NewTurboDiffusion: Add H3 FL2VA inference with native W8A8, public SpargeAttn and DBCach…thu-ml/TurboDiffusion
- 317NewNextGAN: Towards Simple and Scalable GAN Training for Image and Video Generation
Adversarial training enables one- and few-step image and video generation, but conventional adversarial losses supervise critic values without directly specifying the gradients used to update the generator. We present NEXTGAN, which trains a scalar critic by regressing its input…
arXiv: video generation - 316NewLTX-2 v1.6.0Lightricks/LTX-2
- 315NewReactWorld: Structuring Interaction Responses for Embodied Video Generation
Embodied video world models predict scene changes caused by robot actions, yet generated object responses may remain inconsistent with task intent and contact dynamics. Critical responses in embodied scenes often concentrate in local regions and specific time intervals. Inspired…
arXiv: video generation
- 314NewDecoupAttn: Decoupled Sparse Attention for Training-Free Acceleration of Video Diffusion
Sparse attention accelerates few-step video diffusion transformers by computing a few key blocks exactly and compensating for the rest. However, existing sparse attention still faces key challenges, including identification overhead from finding critical blocks at every…
arXiv: video generation - 313NewChronos: Sequential Identity-Preserving Video Generation by Temporal Anchoring
Identity-preserving video generation aims to synthesize high-quality and visually realistic videos from textual and visual conditions while faithfully maintaining the subject's identity across diverse motions. Prior methods have extensively introduced reference-guided control…
arXiv: video generation - 312NewDualCast: Dual-Image Conditioned Diffusion Transformers for Digital Human E-Commerce Video Generation
Digital human e-commerce video generation requires preserving product appearance, human identity, and overall video style during dynamic demonstrations. Although recent models support multiple reference images, their general conditioning schemes do not explicitly distinguish the…
arXiv: video generation - 310NewLiveFoley: Dynamic Real-Time Video-to-Audio Generation for Immersive Interactive Worlds
LiveFoley improves streaming video-to-audio generation by using a trailing sliding window for visual alignment and expanded temporal denoising windows for audio quality with minimal latency.
Hugging Face Daily Papers - 308NewRunway Characters: Serving a 57B Video Diffusion Transformer for Real-Time Conversation
Conversational video characters must generate video as fast as it plays, for one user at a time: at 24 fps, a sustained 166.7 ms per four-frame chunk at batch size one, with only a few chunks of buffering. We describe the system behind Runway Characters, which serves a…
arXiv: video generation
- 306NewWanGP Manager 0.1.14 - Experimentaldeepbeepmeep/WanGP
- 305NewEmoReward: Self-Evolving Reward Calibration for Emotional Video Generation RL
Group Relative Policy Optimization (GRPO) has advanced generative model post-training in verifiable domains such as code and mathematics, but evaluating video quality, especially emotional expression, often depends on subjective aesthetics and has no uniquely correct target…
Hugging Face Daily Papers - 304NewTurns Matter: Advancing Streaming Video RL via Turn-Level Credit
TurnWise improves streaming video understanding by assigning turn-level credit and balancing decision weights in group relative policy optimization.
Hugging Face Daily Papers - 303NewMiniMax H3 in ComfyUI | Character Swap, Talk, Sing & Timeline (Ep41)
In this episode, we test MiniMax H3 in ComfyUI with 25 free workflows, plus 2 bonus workflows. H3 is a video model that makes video with sound, from your images, videos and audio. We test them all, and see what H3 does well and where it struggles. Part 1, change your video: a…
pixaroma - 301NewBehind Video Generation: Observations and Insights on Multimodal Understanding from Kling
Video generation has progressed from isolated clips to coherent short-form audiovisual sequences, and the bottleneck is shifting from rendering to semantic control. This report summarizes the observations and insights on multimodal understanding gained from successive…
arXiv: video generation
- 300NewPixel-space video generation with U-JiT
Latent diffusion and flow matching models are ubiquitous in state-of-the-art generative video models. While highly effective, relying on pretrained autoencoders to compress the data into a lower-dimensional latent space also comes with drawbacks. First, training proceeds in two…
arXiv: video generation - 296NewWhich MiniMax H3 model should you use?
Three MiniMax H3 models, three prices. Here's when to use H3 Highspeed, H3 Lite, and H3.
Replicate Blog - 295NewRoboTryOn: Synthesizing Dexterous Robot Demonstrations from Human Videos via Virtual Try-On
RoboTryOn translates human demonstration videos into robot videos to train control policies without real robot demonstrations, improving success rates and reducing data collection costs.
Hugging Face Daily Papers - 294NewDreamX: Video Diffusion Model is a Universal Latent Action Learner
DreamX leverages a pretrained video diffusion model to learn compact, appearance-invariant latent actions that enable cross-embodiment transfer and efficient policy learning.
Hugging Face Daily Papers - 292NewThe Most Insane AI Film You'll See Today (Seedance 2.5)
PLANET HELL is an AI Sci-FI Short Film expanding on the original AI Film trailer made in Veo-3.1 This is an ongoing series about a prison planet where every inmate gets one bullet. This latest film was made with Seedance 2.5, GPT Image 2 and 2.5, Nano Banana and Midjourney, and…
Theoretically Media
- 290NewOne Image Is Enough: Self-Generated Supervision for Personalizing Human Video Diffusion at Test Time
Pose-driven human video diffusion animates a person from a single reference image and a target pose sequence, yet it struggles to preserve identity, rendering the face and garments unfaithfully as the pose departs from it. Personalization is the standard remedy, but its…
arXiv: video generation - 289NewDisen-Forcing: Disentangling Semantic Anchoring from Motion for Autoregressive Video Diffusion
Autoregressive video diffusion models (AR-VDMs) enable real-time, long-horizon video generation but degrade rapidly once the inference horizon outruns the training horizon, due to compounding exposure bias. To stabilize long rollouts, recent methods heuristically adopt frame…
arXiv: video generation - 288NewOmniOPD: Stable On-Policy Distillation for Joint Audio-Video Generation
Reinforcement learning (RL) elevates joint audio-video generation, but optimizing heterogeneous, modality-specific audio and video rewards often introduces cross-modal interference. On-policy distillation (OPD) alleviates this issue by transferring the capabilities of…
arXiv: video generation - 287NewCAST-Bench: Tracing Every Sound to Its Source in Multi-Shot Audio-Video Generation
Existing benchmarks for joint text-to-audio-video (T2AV) generation evaluate perceptual quality and audiovisual alignment, but balanced sound-source sam?pling and separate reporting by shot structure remain limited. This makes it dif?ficult to determine whether a specific sound…
arXiv: video generation - 282NewWanGP Manager 0.1.13 - Experimentaldeepbeepmeep/WanGP