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3Dprinting (176) A.I. (780) animation (342) blender (198) colour (232) commercials (50) composition (152) cool (360) design (637) Featured (69) hardware (308) IOS (109) jokes (136) lighting (286) modeling (140) music (186) photogrammetry (184) photography (754) production (1268) python (89) quotes (495) reference (312) software (1342) trailers (299) ves (544) VR (220)

  • KIRI Engine 3.12 – Mesh From 3D Gaussian Splatting

    pIXELsHAM.com
    Apr 27, 2025
    photogrammetry

    Will This Replace Photogrammetry And 3D Scanner?

    Views : 14
  • Finn Jager – From HEIC (High Efficiency Image Container) iPhone to a Multichannel EXR

    pIXELsHAM.com
    Apr 27, 2025
    photography, software

    Finn Jäger has spent some time in making a sleeker tool for all you VFX nerds out there, it takes a HEIC iPhone still and exports a Multichannel EXR – the cool thing is it also converts it to acesCG and it merges the SDR base image with the gain map according to apples math hdr_rgb = sdr_rgb * (1.0 + (headroom – 1.0) * gainmap)

    https://github.com/finnschi/heic-shenanigans

    Views : 11
  • EDGS – Eliminating Densification for Efficient Convergence of 3DGS

    pIXELsHAM.com
    Apr 27, 2025
    photogrammetry

    https://compvis.github.io/EDGS

    https://github.com/CompVis/EDGS

    https://compvis-edgs.hf.space

    Views : 14
  • Wētā FX – Compositing and Lighting Godzilla X Kong: The New Empire

    pIXELsHAM.com
    Apr 27, 2025
    lighting, production

    Views : 12
  • How Arvid Schneider Created This Star Wars Environment | Houdini Biomes & Nuke

    pIXELsHAM.com
    Apr 27, 2025
    lighting, modeling, production

    Views : 11
  • Mars Lewis on the Brandolini’s Law

    pIXELsHAM.com
    Apr 27, 2025
    quotes

    Brandolini’s law (or the bullshit asymmetry principle) is an internet adage coined in 2013 by Italian programmer Alberto Brandolini. It compares the considerable effort of debunking misinformation to the relative ease of creating it in the first place.

    The law states: “The amount of energy needed to refute bullshit is an order of magnitude bigger than to produce it.”

    https://en.wikipedia.org/wiki/Brandolini%27s_law

    https://www.linkedin.com/posts/marslewis_brandolinislaw-propagandawars-medialies-activity-7320036000473255936-LQVG

    This is why every time you kill a lie, it feels like nothing changed. It’s why no matter how many facts you post, how many sources you cite, how many receipts you show—the swarm just keeps coming. Because while you’re out in the open doing surgery, the machine is behind the curtain spraying aerosol deceit into every vent.

    The lie takes ten seconds. The truth takes ten paragraphs. And by the time you’ve written the tenth, the people you’re trying to reach have already scrolled past.

    Every viral deception—the fake quote, the rigged video, the synthetic outrage—takes almost nothing to create. And once it’s out there, you’re not just correcting a fact—you’re prying it out of someone’s identity. Because people don’t adopt lies just for information. They adopt them for belonging. The lie becomes part of who they are, and your correction becomes an attack.

    And still—you must correct it. Still, you must fight.

    Because even if truth doesn’t spread as fast, it roots deeper. Even if it doesn’t go viral, it endures. And eventually, it makes people bulletproof to the next wave of narrative sewage.

    You’re not here to win a one-day war. You’re here to outlast a never-ending invasion.

    The lies are roaches. You kill one, and a hundred more scramble behind the drywall.The lies are Hydra heads. You cut one off, and two grow back. But you keep swinging anyway.

    Because this isn’t about instant wins. It’s about making the cost of lying higher. It’s about being the resistance that doesn’t fold. You don’t fight because it’s easy. You fight because it’s right.

    Views : 11
  • GenUE – Direct Prompt-to-Mesh Generation in Unreal Engine Integrated with ComfyUI

    pIXELsHAM.com
    Apr 27, 2025
    A.I., modeling

    GenUE brings prompt-driven 3D asset creation directly into Unreal Engine using ComfyUI as a flexible backend. • Generate high-quality images from text prompts. • Choose from a catalog of batch-generated images – no style limitations. • Convert the selected image to a fully textured 3D mesh. • Automatically import and place the model into your Unreal Engine scene. This modular pipeline gives you full control over the image and 3D generation stages, with support for any ComfyUI workflow or model. Full generation (image + mesh + import) completes in under 2 minutes on a high-end consumer GPU.

    Views : 21
  • Michael Gerard – Unreal Engine Nanite Foliage full workflow

    pIXELsHAM.com
    Apr 27, 2025
    modeling

    https://www.artstation.com/blogs/michael_g_art/AgdAb/nanite-foliage-complete-workflow

    Views : 19
  • Edward Ureña – Rig creator

    pIXELsHAM.com
    Apr 27, 2025
    animation

    https://edwardurena.gumroad.com/l/ramoo

    What it offers:
    • Base rigs for multiple character types
    • Automatic weight application
    • Built-in facial rigging system
    • Bone generators with FK and IK options
    • Streamlined constraint panel

    Views : 6
  • Hadi Karimi – Full online modeling workshop

    pIXELsHAM.com
    Apr 27, 2025
    modeling

    https://www.youtube.com/HadiKarimi/streams

    Views : 6
  • GPT-Image-1 API now available through ComfyUI with Dall-E integration

    pIXELsHAM.com
    Apr 27, 2025
    A.I.

    https://blog.comfy.org/p/comfyui-now-supports-gpt-image-1

    https://docs.comfy.org/tutorials/api-nodes/openai/gpt-image-1

    https://openai.com/index/image-generation-api

    • Prompt GPT-Image-1 directly in ComfyUI using text or image inputs
    • Set resolution and quality
    • Supports image editing + transparent backgrounds
    • Seamlessly mix with local workflows like WAN 2.1, FLUX Tools, and more

    Views : 23
  • Tencent Hunyuan3D 2.5 – Transform images and text into 3D models with ultra-high-definition precision

    pIXELsHAM.com
    Apr 27, 2025
    A.I., modeling

    https://www.hunyuan-3d.com/

    What makes it special?
    • Massive 10B parameter geometric model with 10x more mesh faces.
    • High-quality textures with industry-first multi-view PBR generation.
    • Optimized skeletal rigging for streamlined animation workflows.
    • Flexible pipeline for text-to-3D and image-to-3D generation.

    They’re making it accessible to everyone:
    • Open-source code and pre-trained models.
    • Easy-to-use API and intuitive web interface.
    • Free daily quota doubled to 20 generations!

    Views : 157
  • Alibaba 3DV-TON – A novel diffusion model for HQ and temporally consistent video

    pIXELsHAM.com
    Apr 27, 2025
    A.I.

    https://arxiv.org/pdf/2504.17414

    Video try-on replaces clothing in videos with target garments. Existing methods struggle to generate high-quality and temporally consistent results when handling complex clothing patterns and diverse body poses. We present 3DV-TON, a novel diffusion-based framework for generating high-fidelity and temporally consistent video try-on results. Our approach employs generated animatable textured 3D meshes as explicit frame-level guidance, alleviating the issue of models over-focusing on appearance fidelity at the expanse of motion coherence. This is achieved by enabling direct reference to consistent garment texture movements throughout video sequences. The proposed method features an adaptive pipeline for generating dynamic 3D guidance: (1) selecting a keyframe for initial 2D image try-on, followed by (2) reconstructing and animating a textured 3D mesh synchronized with original video poses. We further introduce a robust rectangular masking strategy that successfully mitigates artifact propagation caused by leaking clothing information during dynamic human and garment movements. To advance video try-on research, we introduce HR-VVT, a high-resolution benchmark dataset containing 130 videos with diverse clothing types and scenarios. Quantitative and qualitative results demonstrate our superior performance over existing methods.

    Views : 26
  • FramePack – Packing Input Frame Context in Next-Frame Prediction Models for Offline Video Generation With Low Resource Requirements

    pIXELsHAM.com
    Apr 27, 2025
    A.I., software

    https://lllyasviel.github.io/frame_pack_gitpage/

    • Diffuse thousands of frames at full fps-30 with 13B models using 6GB laptop GPU memory.
    • Finetune 13B video model at batch size 64 on a single 8xA100/H100 node for personal/lab experiments.
    • Personal RTX 4090 generates at speed 2.5 seconds/frame (unoptimized) or 1.5 seconds/frame (teacache).
    • No timestep distillation.
    • Video diffusion, but feels like image diffusion.

    Image-to-5-Seconds (30fps, 150 frames)

    Views : 14
  • Anthony Sauzet – ProceduralMaya

    pIXELsHAM.com
    Apr 27, 2025
    production

    A Maya script that introduces a node-based graph system for procedural modeling, like Houdini

    https://github.com/AnthonySTZ/ProceduralMaya

    Views : 12
  • 11 Public Speaking Strategies

    pIXELsHAM.com
    Apr 27, 2025
    quotes

    What do people report as their #1 greatest fear?

    It’s not death….
    It’s public speaking.

    Glossophobia, the fear of public speaking, has been a daunting obstacle for me for years.


    11 confidence-boosting tips

    1/ The 5-5-5 Rule
    → Scan 5 faces; Hold each gaze for 5 seconds.
    → Repeat every 5 minutes.
    → Creates an authentic connection.

    2/Power Pause
    → Dead silence for 3 seconds after key points.
    → Let your message land.

    3/ The 3-Part Open
    → Hook with a question.
    → Share a story.
    → State your promise.

    4/ Palm-Up Principle
    → Open palms when speaking = trustworthy.
    → Pointing fingers = confrontational.

    5/ The 90-Second Reset
    → Feel nervous? Excuse yourself.
    → 90 seconds of deep breathing reset your nervous system.

    6/ Rule of Three
    → Structure key points in threes.
    → Our brains love patterns.

    7/ 2-Minute Story Rule
    → Keep stories under 2 minutes.
    → Any longer, you lose them.

    8/ The Lighthouse Method
    → Plant “anchor points” around the room.
    → Rotate eye contact between them.
    → Looks natural, feels structured.

    9/ The Power Position
    → Feet shoulder-width apart.
    → Hands relaxed at sides.
    → Projects confidence even when nervous.

    10/ The Callback Technique
    → Reference earlier points later in your talk.
    → Creates a narrative thread.
    → Audiences love connections.

    11/ The Rehearsal Truth
    → Practice the opening 3x more than the rest.
    → Nail the first 30 seconds; you’ll nail the talk.

    Views : 10
  • TetSphere Splatting – Representing High-Quality Geometry with Lagrangian Volumetric Meshes

    pIXELsHAM.com
    Apr 27, 2025
    photogrammetry

    https://github.com/gmh14/tssplat

    Views : 13
  • FreeCodeCamp – Train Your Own LLM

    pIXELsHAM.com
    Apr 27, 2025
    A.I., production

    https://www.freecodecamp.org/news/train-your-own-llm

    Ever wondered how large language models like ChatGPT are actually built? Behind these impressive AI tools lies a complex but fascinating process of data preparation, model training, and fine-tuning. While it might seem like something only experts with massive resources can do, it’s actually possible to learn how to build your own language model from scratch. And with the right guidance, you can go from loading raw text data to chatting with your very own AI assistant.

    Views : 13
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